Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
An effective hash-based algorithm for mining association rules
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
Dynamic itemset counting and implication rules for market basket data
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Fast discovery of association rules
Advances in knowledge discovery and data mining
An Information Theoretic Approach to Rule Induction from Databases
IEEE Transactions on Knowledge and Data Engineering
Mining Sequential Patterns: Generalizations and Performance Improvements
EDBT '96 Proceedings of the 5th International Conference on Extending Database Technology: Advances in Database Technology
Pincer Search: A New Algorithm for Discovering the Maximum Frequent Set
EDBT '98 Proceedings of the 6th International Conference on Extending Database Technology: Advances in Database Technology
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
Discovering All Most Specific Sentences by Randomized Algorithms
ICDT '97 Proceedings of the 6th International Conference on Database Theory
An Efficient Algorithm for Mining Association Rules in Large Databases
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Automatic subspace clustering of high dimensional data for data mining applications
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Online association rule mining
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Optimization of constrained frequent set queries with 2-variable constraints
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Efficient mining of emerging patterns: discovering trends and differences
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Mining the most interesting rules
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Detecting change in categorical data: mining contrast sets
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Transversing itemset lattices with statistical metric pruning
PODS '00 Proceedings of the nineteenth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Mining frequent patterns without candidate generation
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Generating non-redundant association rules
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Depth first generation of long patterns
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Exploring constraints to efficiently mine emerging patterns from large high-dimensional datasets
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Multivariate discretization of continuous variables for set mining
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
A condensed representation to find frequent patterns
PODS '01 Proceedings of the twentieth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Mining frequent patterns by pattern-growth: methodology and implications
ACM SIGKDD Explorations Newsletter - Special issue on “Scalable data mining algorithms”
The segment support map: scalable mining of frequent itemsets
ACM SIGKDD Explorations Newsletter - Special issue on “Scalable data mining algorithms”
Mining patterns in long sequential data with noise
ACM SIGKDD Explorations Newsletter - Special issue on “Scalable data mining algorithms”
Mining frequent patterns with counting inference
ACM SIGKDD Explorations Newsletter - Special issue on “Scalable data mining algorithms”
Molecular feature mining in HIV data
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Discovering unexpected information from your competitors' web sites
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Efficient discovery of error-tolerant frequent itemsets in high dimensions
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Efficient runtime generation of association rules
Proceedings of the tenth international conference on Information and knowledge management
Scalable frequent-pattern mining methods: an overview
Tutorial notes of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Reduction of discriminant rules based on frequent item set calculation
New learning paradigms in soft computing
Towards long pattern generation in dense databases
ACM SIGKDD Explorations Newsletter
Mining long sequential patterns in a noisy environment
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Constrained frequent pattern mining: a pattern-growth view
ACM SIGKDD Explorations Newsletter
Exploiting succinct constraints using FP-trees
ACM SIGKDD Explorations Newsletter
Discovery in multi-attribute data with user-defined constraints
ACM SIGKDD Explorations Newsletter
Constraint-Based Rule Mining in Large, Dense Databases
Data Mining and Knowledge Discovery
Detecting Group Differences: Mining Contrast Sets
Data Mining and Knowledge Discovery
A lattice-based approach for I/O efficient association rule mining
Information Systems - Databases: Creation, management and utilization
Computing iceberg concept lattices with TITANIC
Data & Knowledge Engineering
Free-Sets: A Condensed Representation of Boolean Data for the Approximation of Frequency Queries
Data Mining and Knowledge Discovery
Scalable Algorithms for Association Mining
IEEE Transactions on Knowledge and Data Engineering
A Graph-Based Approach for Discovering Various Types of Association Rules
IEEE Transactions on Knowledge and Data Engineering
Pincer-Search: An Efficient Algorithm for Discovering the Maximum Frequent Set
IEEE Transactions on Knowledge and Data Engineering
A pattern decomposition algorithm for data mining of frequent patterns
Knowledge and Information Systems
Axiomatization of frequent itemsets
Theoretical Computer Science
Discovering Frequent Closed Itemsets for Association Rules
ICDT '99 Proceedings of the 7th International Conference on Database Theory
Bioinformatics Adventures in Database Research
ICDT '03 Proceedings of the 9th International Conference on Database Theory
Approximation of Frequency Queris by Means of Free-Sets
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
Computing Association Rules Using Partial Totals
PKDD '01 Proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery
Optimized Substructure Discovery for Semi-structured Data
PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery
Finding Association Rules with Some Very Frequent Attributes
PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery
Mining All Non-derivable Frequent Itemsets
PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery
Optimizing Pattern Queries for Web Access Logs
ADBIS '01 Proceedings of the 5th East European Conference on Advances in Databases and Information Systems
Emerging Patterns and Classification
ASIAN '00 Proceedings of the 6th Asian Computing Science Conference on Advances in Computing Science
Further Pruning for Efficient Association Rule Discovery
AI '01 Proceedings of the 14th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
A New Approach for the Discovery of Frequent Itemsets
DaWaK '99 Proceedings of the First International Conference on Data Warehousing and Knowledge Discovery
Discovery of Association Rule Meta-Patterns
DaWaK '99 Proceedings of the First International Conference on Data Warehousing and Knowledge Discovery
Data Mining Support in Database Management Systems
DaWaK 2000 Proceedings of the Second International Conference on Data Warehousing and Knowledge Discovery
Enhancing the Apriori Algorithm for Frequent Set Counting
DaWaK '01 Proceedings of the Third International Conference on Data Warehousing and Knowledge Discovery
Schema Discovery of the Semi-structured and Hierarchical Data
IDEAL '02 Proceedings of the Third International Conference on Intelligent Data Engineering and Automated Learning
Data Mining Techniques for Associations, Clustering and Classification
PAKDD '99 Proceedings of the Third Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining
Frequent Closures as a Concise Representation for Binary Data Mining
PADKK '00 Proceedings of the 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Current Issues and New Applications
Mining Structured Association Patterns from Databases
PADKK '00 Proceedings of the 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Current Issues and New Applications
Efficient Mining of Niches and Set Routines
PAKDD '01 Proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining
On the Complexity of Generating Maximal Frequent and Minimal Infrequent Sets
STACS '02 Proceedings of the 19th Annual Symposium on Theoretical Aspects of Computer Science
Data Mining and Personalization Technologies
DASFAA '99 Proceedings of the Sixth International Conference on Database Systems for Advanced Applications
An Effective Boolean Algorithm for Mining Association Rules in Large Databases
DASFAA '99 Proceedings of the Sixth International Conference on Database Systems for Advanced Applications
Intelligent Structuring and Reducing of Association Rules with Formal Concept Analysis
KI '01 Proceedings of the Joint German/Austrian Conference on AI: Advances in Artificial Intelligence
Some Results on Flexible-Pattern Discovery
COM '00 Proceedings of the 11th Annual Symposium on Combinatorial Pattern Matching
Characteristic Sets of Strings Common to Semi-structured Documents
DS '99 Proceedings of the Second International Conference on Discovery Science
CAEP: Classification by Aggregating Emerging Patterns
DS '99 Proceedings of the Second International Conference on Discovery Science
Parallel Branch-and-Bound Graph Search for Correlated Association Rules
Revised Papers from Large-Scale Parallel Data Mining, Workshop on Large-Scale Parallel KDD Systems, SIGKDD
Efficient Data Mining Based on Formal Concept Analysis
DEXA '02 Proceedings of the 13th International Conference on Database and Expert Systems Applications
Fast Algorithms for Mining Emerging Patterns
PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery
Real World Association Rule Mining
BNCOD 19 Proceedings of the 19th British National Conference on Databases: Advances in Databases
Answering the Most Correlated N Association Rules Efficiently
PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery
Efficient Feature Mining in Music Objects
DEXA '01 Proceedings of the 12th International Conference on Database and Expert Systems Applications
Data mining: an experimental undergraduate course
Journal of Computing Sciences in Colleges
A perspective on inductive databases
ACM SIGKDD Explorations Newsletter
Feasible itemset distributions in data mining: theory and application
Proceedings of the twenty-second ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
DualMiner: a dual-pruning algorithm for itemsets with constraints
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Privacy preserving mining of association rules
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Mining frequent item sets by opportunistic projection
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Sequential PAttern mining using a bitmap representation
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
A new two-phase sampling based algorithm for discovering association rules
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Mining topic-specific concepts and definitions on the web
WWW '03 Proceedings of the 12th international conference on World Wide Web
Pushing Support Constraints Into Association Rules Mining
IEEE Transactions on Knowledge and Data Engineering
Mining Asynchronous Periodic Patterns in Time Series Data
IEEE Transactions on Knowledge and Data Engineering
Discovering all most specific sentences
ACM Transactions on Database Systems (TODS)
A bibliography of temporal, spatial and spatio-temporal data mining research
ACM SIGKDD Explorations Newsletter
On Maximal Frequent and Minimal Infrequent Sets in Binary Matrices
Annals of Mathematics and Artificial Intelligence
Algorithms for association rules
Advanced lectures on machine learning
Using transposition for pattern discovery from microarray data
DMKD '03 Proceedings of the 8th ACM SIGMOD workshop on Research issues in data mining and knowledge discovery
Off to new shores: conceptual knowledge discovery and processing
International Journal of Human-Computer Studies
Mining Strong Affinity Association Patterns in Data Sets with Skewed Support Distribution
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Zigzag: a new algorithm for mining large inclusion dependencies in databases
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Tough constraint-based frequent closed itemsets mining
Proceedings of the 2003 ACM symposium on Applied computing
Tree Structures for Mining Association Rules
Data Mining and Knowledge Discovery
Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach
Data Mining and Knowledge Discovery
CLOSET+: searching for the best strategies for mining frequent closed itemsets
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
On detecting differences between groups
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Fast vertical mining using diffsets
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Playing hide-and-seek with correlations
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Efficient dynamic mining of constrained frequent sets
ACM Transactions on Database Systems (TODS)
Maintaining discovered frequent itemsets: cases for changeable database and support
Journal of Computer Science and Technology
DBC: a condensed representation of frequent patterns for efficient mining
Information Systems
On support thresholds in associative classification
Proceedings of the 2004 ACM symposium on Applied computing
Go Green: Recycle and Reuse Frequent Patterns
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
Pushing Convertible Constraints in Frequent Itemset Mining
Data Mining and Knowledge Discovery
Privacy preserving mining of association rules
Information Systems - Knowledge discovery and data mining (KDD 2002)
Incremental Maintenance on the Border of the Space of Emerging Patterns
Data Mining and Knowledge Discovery
Hypergraph Models and Algorithms for Data-Pattern-Based Clustering
Data Mining and Knowledge Discovery
Memory-adative association rules mining
Information Systems - Databases: Creation, management and utilization
Frequent Pattern Mining on Message Passing Multiprocessor Systems
Distributed and Parallel Databases
Advances in frequent itemset mining implementations: report on FIMI'03
ACM SIGKDD Explorations Newsletter - Special issue on learning from imbalanced datasets
COFI approach for mining frequent itemsets revisited
Proceedings of the 9th ACM SIGMOD workshop on Research issues in data mining and knowledge discovery
Efficient mining of both positive and negative association rules
ACM Transactions on Information Systems (TOIS)
Efficient closed pattern mining in the presence of tough block constraints
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
The complexity of mining maximal frequent itemsets and maximal frequent patterns
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Mining Non-Redundant Association Rules
Data Mining and Knowledge Discovery
Specifying Mining Algorithms with Iterative User-Defined Aggregates
IEEE Transactions on Knowledge and Data Engineering
Mining Sequential Patterns by Pattern-Growth: The PrefixSpan Approach
IEEE Transactions on Knowledge and Data Engineering
Scalable sequential pattern mining for biological sequences
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Pruning and Visualizing Generalized Association Rules in Parallel Coordinates
IEEE Transactions on Knowledge and Data Engineering
Temporal moving pattern mining for location-based service
Journal of Systems and Software
Finding the most interesting correlations in a database: how hard can it be?
Information Systems
Essential classification rule sets
ACM Transactions on Database Systems (TODS)
Generating a Condensed Representation for Association Rules
Journal of Intelligent Information Systems
Divide-and-Approximate: A Novel Constraint Push Strategy for Iceberg Cube Mining
IEEE Transactions on Knowledge and Data Engineering
Efficient Algorithms for Mining Closed Itemsets and Their Lattice Structure
IEEE Transactions on Knowledge and Data Engineering
TFP: An Efficient Algorithm for Mining Top-K Frequent Closed Itemsets
IEEE Transactions on Knowledge and Data Engineering
Scrutinizing Frequent Pattern Discovery Performance
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
Computational complexity of itemset frequency satisfiability
PODS '04 Proceedings of the twenty-third ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Relative risk and odds ratio: a data mining perspective
Proceedings of the twenty-fourth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Finding frequent itemsets by transaction mapping
Proceedings of the 2005 ACM symposium on Applied computing
A "Go With the Winners" approach to finding frequent patterns
Proceedings of the 2005 ACM symposium on Applied computing
Distributed approximate mining of frequent patterns
Proceedings of the 2005 ACM symposium on Applied computing
Tight upper bounds on the number of candidate patterns
ACM Transactions on Database Systems (TODS)
Automatic Subspace Clustering of High Dimensional Data
Data Mining and Knowledge Discovery
Summarizing itemset patterns: a profile-based approach
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Pattern lattice traversal by selective jumps
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Cache-conscious frequent pattern mining on a modern processor
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Mining compressed frequent-pattern sets
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Fast Algorithms for Frequent Itemset Mining Using FP-Trees
IEEE Transactions on Knowledge and Data Engineering
Mining condensed frequent-pattern bases
Knowledge and Information Systems
MAFIA: A Maximal Frequent Itemset Algorithm
IEEE Transactions on Knowledge and Data Engineering
GenMax: An Efficient Algorithm for Mining Maximal Frequent Itemsets
Data Mining and Knowledge Discovery
AMIOT: Induced Ordered Tree Mining in Tree-Structured Databases
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
CanTree: A Tree Structure for Efficient Incremental Mining of Frequent Patterns
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Discovering Frequent Arrangements of Temporal Intervals
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
On Characterization and Discovery of Minimal Unexpected Patterns in Rule Discovery
IEEE Transactions on Knowledge and Data Engineering
A Transaction Mapping Algorithm for Frequent Itemsets Mining
IEEE Transactions on Knowledge and Data Engineering
ACM Computing Surveys (CSUR)
Implementing leap traversals of the itemset lattice
Proceedings of the 1st international workshop on open source data mining: frequent pattern mining implementations
Proceedings of the 1st international workshop on open source data mining: frequent pattern mining implementations
LCM ver.3: collaboration of array, bitmap and prefix tree for frequent itemset mining
Proceedings of the 1st international workshop on open source data mining: frequent pattern mining implementations
A probability analysis for candidate-based frequent itemset algorithms
Proceedings of the 2006 ACM symposium on Applied computing
Distributed Mining of Maximal Frequent Itemsets on a Data Grid System
The Journal of Supercomputing
On condensed representations of constrained frequent patterns
Knowledge and Information Systems
Generating semantic annotations for frequent patterns with context analysis
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Parallel Leap: Large-Scale Maximal Pattern Mining in a Distributed Environment
ICPADS '06 Proceedings of the 12th International Conference on Parallel and Distributed Systems - Volume 1
An efficient approach to mining indirect associations
Journal of Intelligent Information Systems
Partitioning strategies for distributed association rule mining
The Knowledge Engineering Review
Efficient mining maximum frequent pagesets with double dwell time constraint
AIA'06 Proceedings of the 24th IASTED international conference on Artificial intelligence and applications
Matrix apriori: speeding up the search for frequent patterns
DBA'06 Proceedings of the 24th IASTED international conference on Database and applications
Domain and data partitioning for parallel mining of frequent closed itemsets
Proceedings of the 43rd annual Southeast regional conference - Volume 1
Cache-conscious frequent pattern mining on modern and emerging processors
The VLDB Journal — The International Journal on Very Large Data Bases
Parallel Bifold: Large-scale parallel pattern mining with constraints
Distributed and Parallel Databases
Describing differences between databases
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
An integer programming approach for frequent itemset hiding
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Efficient mining of max frequent patterns in a generalized environment
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Distributed Mining of Constrained Patterns from Wireless Sensor Data
WI-IATW '06 Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology
Computational aspects of mining maximal frequent patterns
Theoretical Computer Science
Mining maximal hyperclique pattern: A hybrid search strategy
Information Sciences: an International Journal
Dare to share: Protecting sensitive knowledge with data sanitization
Decision Support Systems
Horn axiomatizations for sequential data
Theoretical Computer Science
Data & Knowledge Engineering - Special issue: WIDM 2004
Mining itemset utilities from transaction databases
Data & Knowledge Engineering - Special issue: ER 2003
Expert Systems with Applications: An International Journal
Data Mining and Knowledge Discovery
World Wide Web
Parallel mining of association rules from text databases
The Journal of Supercomputing
CanTree: a canonical-order tree for incremental frequent-pattern mining
Knowledge and Information Systems
Maintenance of maximal frequent itemsets in large databases
Proceedings of the 2007 ACM symposium on Applied computing
Mining itemsets in the presence of missing values
Proceedings of the 2007 ACM symposium on Applied computing
FAT-miner: mining frequent attribute trees
Proceedings of the 2007 ACM symposium on Applied computing
Maximizing Accuracy of Shared Databases when Concealing Sensitive Patterns
Information Systems Research
An efficient algorithm for mining frequent inter-transaction patterns
Information Sciences: an International Journal
A new approach to mine frequent patterns using item-transformation methods
Information Systems
Efficient association rule mining among both frequent and infrequent items
Computers & Mathematics with Applications
Efficient mining of understandable patterns from multivariate interval time series
Data Mining and Knowledge Discovery
Efficiently mining Maximal Frequent Sets in dense databases for discovering association rules
Intelligent Data Analysis
Association-based similarity testing and its applications
Intelligent Data Analysis
Unsupervised pattern mining from symbolic temporal data
ACM SIGKDD Explorations Newsletter - Special issue on data mining for health informatics
Discovery of maximum length frequent itemsets
Information Sciences: an International Journal
Semantic annotation of frequent patterns
ACM Transactions on Knowledge Discovery from Data (TKDD)
Computers & Mathematics with Applications
Generating concise association rules
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Toward supporting real-time mining for data residing on enterprise systems
Expert Systems with Applications: An International Journal
Association rule and quantitative association rule mining among infrequent items
Proceedings of the 8th international workshop on Multimedia data mining: (associated with the ACM SIGKDD 2007)
A framework for incremental generation of closed itemsets
Discrete Applied Mathematics
Discovering shared conceptualizations in folksonomies
Web Semantics: Science, Services and Agents on the World Wide Web
A MaxMin approach for hiding frequent itemsets
Data & Knowledge Engineering
Itemset frequency satisfiability: Complexity and axiomatization
Theoretical Computer Science
Efficient algorithms for mining maximal valid groups
The VLDB Journal — The International Journal on Very Large Data Bases
A Contribution to the Use of Decision Diagrams for Loading and Mining Transaction Databases
Fundamenta Informaticae - Special issue ISMIS'05
Fast detection of database system abuse behaviors based on data mining approach
Proceedings of the 2nd international conference on Scalable information systems
An efficient incremental mining algorithm-QSD
Intelligent Data Analysis
Mining multiple-level fuzzy blocks from multidimensional data
Fuzzy Sets and Systems
Tree model guided candidate generation for mining frequent subtrees from XML documents
ACM Transactions on Knowledge Discovery from Data (TKDD)
An efficient algorithm for mining closed inter-transaction itemsets
Data & Knowledge Engineering
A data mining proxy approach for efficient frequent itemset mining
The VLDB Journal — The International Journal on Very Large Data Bases
Approximate mining of maximal frequent itemsets in data streams with different window models
Expert Systems with Applications: An International Journal
Effective and efficient itemset pattern summarization: regression-based approaches
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Efficient mining of maximal frequent itemsets from databases on a cluster of workstations
Knowledge and Information Systems
Smart support functions for sequential pattern mining
Journal of Computational Methods in Sciences and Engineering - Selected papers from the International Conference on Computer Science, Software Engineering, Information Technology, e-Business, and Applications, 2004
Visual Exploration of Frequent Itemsets and Association Rules
Visual Data Mining
Mining Maximal Frequent Itemsets in Data Streams Based on FP-Tree
MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition
DELAY: A Lazy Approach for Mining Frequent Patterns over High Speed Data Streams
ADMA '07 Proceedings of the 3rd international conference on Advanced Data Mining and Applications
Mining Supplemental Frequent Patterns
ADMA '08 Proceedings of the 4th international conference on Advanced Data Mining and Applications
Negative Generator Border for Effective Pattern Maintenance
ADMA '08 Proceedings of the 4th international conference on Advanced Data Mining and Applications
Effective Pruning Techniques for Mining Quasi-Cliques
ECML PKDD '08 Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II
Decomposable Families of Itemsets
ECML PKDD '08 Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II
An integrated, generic approach to pattern mining: data mining template library
Data Mining and Knowledge Discovery
A new concise representation of frequent itemsets using generators and a positive border
Knowledge and Information Systems
On effective presentation of graph patterns: a structural representative approach
Proceedings of the 17th ACM conference on Information and knowledge management
Mining long high utility itemsets in transaction databases
WSEAS Transactions on Information Science and Applications
Brief Communication: Finding rule groups to classify high dimensional gene expression datasets
Computational Biology and Chemistry
Implicit Groups of Web Pages as Constrained Top N Concepts
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
An Experimental Comparison of Different Inclusion Relations in Frequent Tree Mining
Fundamenta Informaticae - Progress on Multi-Relational Data Mining
Post-processing of associative classification rules using closed sets
Expert Systems with Applications: An International Journal
CSM-SD: Methodology for contrast set mining through subgroup discovery
Journal of Biomedical Informatics
A view selection algorithm with performance guarantee
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
A framework for mining top-k frequent closed itemsets using order preserving generators
Proceedings of the 2nd Bangalore Annual Compute Conference
Improved methods for extracting frequent itemsets from interim-support trees
Software—Practice & Experience
Automatically capturing source code context of NL-queries for software maintenance and reuse
ICSE '09 Proceedings of the 31st International Conference on Software Engineering
Frequent pattern mining with uncertain data
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Cartesian contour: a concise representation for a collection of frequent sets
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Issues in pattern mining and their resolutions
C3S2E '09 Proceedings of the 2nd Canadian Conference on Computer Science and Software Engineering
Data & Knowledge Engineering
Monetizing User Activity on Social Networks - Challenges and Experiences
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
The levelwise version space algorithm and its application to molecular fragment finding
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Discovering actionable patterns in event data
IBM Systems Journal
Mining frequent arrangements of temporal intervals
Knowledge and Information Systems
Applying bit-vector projection approach for efficient mining of N-most interesting frequent itemsets
CI '07 Proceedings of the Third IASTED International Conference on Computational Intelligence
Engineering Applications of Artificial Intelligence
Looking into the seeds of time: Discovering temporal patterns in large transaction sets
Information Sciences: an International Journal
The RDF-3X engine for scalable management of RDF data
The VLDB Journal — The International Journal on Very Large Data Bases
An efficient algorithm for mining frequent maximal and closed itemsets
International Journal of Hybrid Intelligent Systems
Visualizing frequent itemsets, association rules, and sequential patterns in parallel coordinates
ICCSA'03 Proceedings of the 2003 international conference on Computational science and its applications: PartI
Evolution and maintenance of frequent pattern space when transactions are removed
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
Contrast set mining through subgroup discovery applied to brain ischaemina data
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
An efficient parallel and distributed algorithm for counting frequent sets
VECPAR'02 Proceedings of the 5th international conference on High performance computing for computational science
Discovering frequent itemsets in the presence of highly frequent items
INAP'01 Proceedings of the Applications of prolog 14th international conference on Web knowledge management and decision support
Discovering association rules in incomplete transactional databases
Transactions on rough sets VI
Max-FTP: mining maximal fault-tolerant frequent patterns from databases
BNCOD'07 Proceedings of the 24th British national conference on Databases
On the high density of leadership nuclei in endorsement social networks
Proceedings of the 19th international conference on World wide web
Using a reinforced concept lattice to incrementally mine association rules from closed itemsets
KDID'06 Proceedings of the 5th international conference on Knowledge discovery in inductive databases
An efficient polynomial delay algorithm for pseudo frequent itemset mining
DS'07 Proceedings of the 10th international conference on Discovery science
A maximal frequent itemset algorithm
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
Maximum item first pattern growth for mining frequent patterns
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
A new association rules mining algorithms based on directed itemsets graph
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
Discovery of frequent distributed event patterns in sensor networks
EWSN'08 Proceedings of the 5th European conference on Wireless sensor networks
A decremental approach for mining frequent itemsets from uncertain data
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
Ambiguous frequent itemset mining and polynomial delay enumeration
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
Association rule mining: models and algorithms
Association rule mining: models and algorithms
An algorithm of double search association rules mining based on digital complementary set
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 2
An efficient algorithm of mining association rules based on digital pure subset
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 2
Discovering spatial interaction patterns
DASFAA'08 Proceedings of the 13th international conference on Database systems for advanced applications
Constructing and exploring composite items
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
FpVAT: a visual analytic tool for supporting frequent pattern mining
ACM SIGKDD Explorations Newsletter
ECDL'09 Proceedings of the 13th European conference on Research and advanced technology for digital libraries
Block interaction: a generative summarization scheme for frequent patterns
Proceedings of the ACM SIGKDD Workshop on Useful Patterns
Frequent subgraph mining on a single large graph using sampling techniques
Proceedings of the Eighth Workshop on Mining and Learning with Graphs
Mining uncertain data with probabilistic guarantees
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Algorithms for mining frequent itemsets in static and dynamic datasets
Intelligent Data Analysis
A fast pruning redundant rule method using Galois connection
Applied Soft Computing
Discovering itemset interactions
ACSC '09 Proceedings of the Thirty-Second Australasian Conference on Computer Science - Volume 91
Rough sets based reasoning and pattern mining for a two-stage information filtering system
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
A new approach for generating efficient sample from market basket data
Expert Systems with Applications: An International Journal
Transactions on rough sets XII
Mining non-redundant information-theoretic dependencies between itemsets
DaWaK'10 Proceedings of the 12th international conference on Data warehousing and knowledge discovery
Efficient algorithms for finding frequent substructures from semi-structured data streams
JSAI'03/JSAI04 Proceedings of the 2003 and 2004 international conference on New frontiers in artificial intelligence
ρ-uncertainty: inference-proof transaction anonymization
Proceedings of the VLDB Endowment
ESTATE: strategy for exploring labeled spatial datasets using association analysis
DS'10 Proceedings of the 13th international conference on Discovery science
Mining disjunctive consequent association rules
Applied Soft Computing
Krimp: mining itemsets that compress
Data Mining and Knowledge Discovery
Reliable representations for association rules
Data & Knowledge Engineering
An exploration of pattern-based subtopic modeling for search result diversification
Proceedings of the 11th annual international ACM/IEEE joint conference on Digital libraries
Mining maximal co-located event sets
PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part I
Pattern mining for a two-stage information filtering system
PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part I
COSINE: a vertical group difference approach to contrast set mining
Canadian AI'11 Proceedings of the 24th Canadian conference on Advances in artificial intelligence
GENCCS: a correlated group difference approach to contrast set mining
MLDM'11 Proceedings of the 7th international conference on Machine learning and data mining in pattern recognition
An improved association rules mining method
Expert Systems with Applications: An International Journal
Discovering discriminative test items for achievement tests
Expert Systems with Applications: An International Journal
Summarizing frequent itemsets via pignistic transformation
EPIA'11 Proceedings of the 15th Portugese conference on Progress in artificial intelligence
A parallel algorithm for computing borders
Proceedings of the 20th ACM international conference on Information and knowledge management
The MineSP operator for mining sequential patterns in inductive databases
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
Parallel mining of maximal sequential patterns using multiple samples
The Journal of Supercomputing
Finding trees from unordered 0–1 data
PKDD'06 Proceedings of the 10th European conference on Principle and Practice of Knowledge Discovery in Databases
Group SAX: extending the notion of contrast sets to time series and multimedia data
PKDD'06 Proceedings of the 10th European conference on Principle and Practice of Knowledge Discovery in Databases
Peak-Jumping frequent itemset mining algorithms
PKDD'06 Proceedings of the 10th European conference on Principle and Practice of Knowledge Discovery in Databases
Frequent pattern discovery without binarization: mining attribute profiles
PKDD'06 Proceedings of the 10th European conference on Principle and Practice of Knowledge Discovery in Databases
Compression picks item sets that matter
PKDD'06 Proceedings of the 10th European conference on Principle and Practice of Knowledge Discovery in Databases
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
Mining maximal correlated member clusters in high dimensional database
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
An efficient approach for interactive mining of frequent itemsets
WAIM'05 Proceedings of the 6th international conference on Advances in Web-Age Information Management
Proceedings of the 4th International Conference on Uniquitous Information Management and Communication
A two-stage decision model for information filtering
Decision Support Systems
On the computation of maximal-correlated cuboids cells
DaWaK'06 Proceedings of the 8th international conference on Data Warehousing and Knowledge Discovery
ExMiner: an efficient algorithm for mining top-k frequent patterns
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
Essential patterns: a perfect cover of frequent patterns
DaWaK'05 Proceedings of the 7th international conference on Data Warehousing and Knowledge Discovery
A sampling-based method for mining frequent patterns from databases
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II
Efficient mining of association rules based on formal concept analysis
Formal Concept Analysis
Relevance of counting in data mining tasks
ADMA'05 Proceedings of the First international conference on Advanced Data Mining and Applications
Estimation of the density of datasets with decision diagrams
ISMIS'05 Proceedings of the 15th international conference on Foundations of Intelligent Systems
An iterative method for mining frequent temporal patterns
EUROCAST'05 Proceedings of the 10th international conference on Computer Aided Systems Theory
Finding closed itemsets in data streams
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
The hows, whys, and whens of constraints in itemset and rule discovery
Proceedings of the 2004 European conference on Constraint-Based Mining and Inductive Databases
A survey on condensed representations for frequent sets
Proceedings of the 2004 European conference on Constraint-Based Mining and Inductive Databases
Proceedings of the 2004 European conference on Constraint-Based Mining and Inductive Databases
Finding itemset-sharing patterns in a large itemset-associated graph
PAKDD'10 Proceedings of the 14th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part II
Mining maximal frequent itemsets using combined FP-Tree
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
An output-polynomial time algorithm for mining frequent closed attribute trees
ILP'05 Proceedings of the 15th international conference on Inductive Logic Programming
An algorithm for mining implicit itemset pairs based on differences of correlations
DS'05 Proceedings of the 8th international conference on Discovery Science
A programmable pipelined queue for approximate string matching
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part IV
Multiway pruning for efficient iceberg cubing
DEXA'06 Proceedings of the 17th international conference on Database and Expert Systems Applications
Mining the k-most interesting frequent patterns sequentially
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
Hiding emerging patterns with local recoding generalization
PAKDD'10 Proceedings of the 14th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
Profile association rule mining using tests of hypotheses without support threshold
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part IV
Transaction databases, frequent itemsets, and their condensed representations
KDID'05 Proceedings of the 4th international conference on Knowledge Discovery in Inductive Databases
A false negative maximal frequent itemset mining algorithm over stream
ADMA'11 Proceedings of the 7th international conference on Advanced Data Mining and Applications - Volume Part I
An efficient mining algorithm for maximal weighted frequent patterns in transactional databases
Knowledge-Based Systems
Efficient colossal pattern mining in high dimensional datasets
Knowledge-Based Systems
Discovery of characteristic patterns from transactions with their classes
Applied Computational Intelligence and Soft Computing
Finding minimum representative pattern sets
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Mining emerging patterns by streaming feature selection
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Effective product assignment based on association rule mining in retail
Expert Systems with Applications: An International Journal
Discovery of Periodic Patterns in Sequence Data: A Variance-Based Approach
INFORMS Journal on Computing
High utility pattern mining using the maximal itemset property and lexicographic tree structures
Information Sciences: an International Journal
An artificial immune system approach to associative classification
ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part I
A pattern discovery model for effective text mining
MLDM'12 Proceedings of the 8th international conference on Machine Learning and Data Mining in Pattern Recognition
ML-DS: a novel deterministic sampling algorithm for association rules mining
ICDM'12 Proceedings of the 12th Industrial conference on Advances in Data Mining: applications and theoretical aspects
An Experimental Comparison of Different Inclusion Relations in Frequent Tree Mining
Fundamenta Informaticae - Progress on Multi-Relational Data Mining
A Contribution to the Use of Decision Diagrams for Loading and Mining Transaction Databases
Fundamenta Informaticae - Special issue ISMIS'05
Finding top-n colossal patterns based on clique search with dynamic update of graph
ICFCA'12 Proceedings of the 10th international conference on Formal Concept Analysis
A tree structure for event-based sequence mining
Knowledge-Based Systems
Mining Induced/Embedded Subtrees using the Level of Embedding Constraint
Fundamenta Informaticae
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
Emerging cubes for trends analysis in OLAP databases
DaWaK'07 Proceedings of the 9th international conference on Data Warehousing and Knowledge Discovery
AC-CS: an immune-inspired associative classification algorithm
ICARIS'12 Proceedings of the 11th international conference on Artificial Immune Systems
Discovering forward sequences from temporal data
Knowledge-Based Systems
Research on Key Technology in Remote Education System of Spirit Diagnosing by Eye in TCM
International Journal of Distance Education Technologies
Constrained Cube Lattices for Multidimensional Database Mining
International Journal of Data Warehousing and Mining
A Theory of Evidence-based method for assessing frequent patterns
Expert Systems with Applications: An International Journal
Non-redundant rare itemset generation
AusDM '09 Proceedings of the Eighth Australasian Data Mining Conference - Volume 101
DisClose: discovering colossal closed itemsets via a memory efficient compact row-tree
PAKDD'12 Proceedings of the 2012 Pacific-Asia conference on Emerging Trends in Knowledge Discovery and Data Mining
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data
Summarizing probabilistic frequent patterns: a fast approach
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Randomly sampling maximal itemsets
Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics
A temporal pattern mining approach for classifying electronic health record data
ACM Transactions on Intelligent Systems and Technology (TIST) - Survey papers, special sections on the semantic adaptive social web, intelligent systems for health informatics, regular papers
An efficient and scalable algorithm for mining maximal
MLDM'13 Proceedings of the 9th international conference on Machine Learning and Data Mining in Pattern Recognition
EnCore: exploiting system environment and correlation information for misconfiguration detection
Proceedings of the 19th international conference on Architectural support for programming languages and operating systems
A statistical significance testing approach to mining the most informative set of patterns
Data Mining and Knowledge Discovery
Fast mining Top-Rank-k frequent patterns by using Node-lists
Expert Systems with Applications: An International Journal
Key roles of closed sets and minimal generators in concise representations of frequent patterns
Intelligent Data Analysis
| Hi-index | 0.02 |
We present a pattern-mining algorithm that scales roughly linearly in the number of maximal patterns embedded in a database irrespective of the length of the longest pattern. In comparison, previous algorithms based on Apriori scale exponentially with longest pattern length. Experiments on real data show that when the patterns are long, our algorithm is more efficient by an order of magnitude or more.