Storing a Sparse Table with 0(1) Worst Case Access Time
Journal of the ACM (JACM)
Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Finding interesting rules from large sets of discovered association rules
CIKM '94 Proceedings of the third international conference on Information and knowledge management
Research problems in data warehousing
CIKM '95 Proceedings of the fourth international conference on Information and knowledge management
An effective hash-based algorithm for mining association rules
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
Mining optimized association rules for numeric attributes
PODS '96 Proceedings of the fifteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
Fast discovery of association rules
Advances in knowledge discovery and data mining
Knowledge Discovery in Databases
Knowledge Discovery in Databases
Database Mining: A Performance Perspective
IEEE Transactions on Knowledge and Data Engineering
Set-Oriented Mining for Association Rules in Relational Databases
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
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Discovery of Multiple-Level Association Rules from Large Databases
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
An Efficient Algorithm for Mining Association Rules in Large Databases
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Mining Generalized Association Rules
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Sampling Large Databases for Association Rules
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
A new framework for itemset generation
PODS '98 Proceedings of the seventeenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Exploratory mining and pruning optimizations of constrained associations rules
SIGMOD '98 Proceedings of the 1998 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
Exploratory mining via constrained frequent set queries
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Scalable algorithms for mining large databases
KDD '99 Tutorial notes of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Entropy-based subspace clustering for mining numerical data
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Pruning and summarizing the discovered associations
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Using association rules for product assortment decisions: a case study
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
A statistical theory for quantitative association rules
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Query driven knowledge discovery in multidimensional data
Proceedings of the 2nd ACM international workshop on Data warehousing and OLAP
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
Data Mining in Large Databases Using Domain Generalization Graphs
Journal of Intelligent Information Systems
Depth first generation of long patterns
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Agglomerative clustering of a search engine query log
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
ACM Transactions on Information Systems (TOIS)
Algorithms for association rule mining — a general survey and comparison
ACM SIGKDD Explorations Newsletter
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 frequent patterns with counting inference
ACM SIGKDD Explorations Newsletter - Special issue on “Scalable data mining algorithms”
Infominer: mining surprising periodic patterns
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
Mining generalised disjunctive 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
Constrained frequent pattern mining: a pattern-growth view
ACM SIGKDD Explorations Newsletter
Exploiting succinct constraints using FP-trees
ACM SIGKDD Explorations Newsletter
Levelwise Search and Borders of Theories in KnowledgeDiscovery
Data Mining and Knowledge Discovery
A Microeconomic View of Data Mining
Data Mining and Knowledge Discovery
Scalable Techniques for Mining Causal Structures
Data Mining and Knowledge Discovery
Using Site Semantics to Analyze, Visualize, and Support Navigation
Data Mining and Knowledge Discovery
Discovery and Evaluation of Aggregate Usage Profiles for Web Personalization
Data Mining and Knowledge Discovery
ARminer: a data mining tool based on association rules
Journal of Computer Science and Technology
Mining Multiple-Level Association Rules in Large Databases
IEEE Transactions on Knowledge and Data Engineering
Finding Interesting Associations without Support Pruning
IEEE Transactions on Knowledge and Data Engineering
Mining Associations with the Collective Strength Approach
IEEE Transactions on Knowledge and Data Engineering
Finding Localized Associations in Market Basket Data
IEEE Transactions on Knowledge and Data Engineering
A Survey of Temporal Knowledge Discovery Paradigms and Methods
IEEE Transactions on Knowledge and Data Engineering
A Statistical Theory for Quantitative Association Rules
Journal of Intelligent Information Systems
Efficient Mining of Intertransaction Association Rules
IEEE Transactions on Knowledge and Data Engineering
Alternative Interest Measures for Mining Associations in Databases
IEEE Transactions on Knowledge and Data Engineering
Synthesizing High-Frequency Rules from Different Data Sources
IEEE Transactions on Knowledge and Data Engineering
Incremental Mining of Constrained Associations
HiPC '00 Proceedings of the 7th International Conference on High Performance Computing
Indirect Association: Mining Higher Order Dependencies in Data
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
Ratio Rules: A New Paradigm for Fast, Quantifiable Data Mining
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Scalable Techniques for Mining Causal Structures
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Mining Surprising Patterns Using Temporal Description Length
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
ARMiner: A Data Mining Tool Based on Association Rules
WAIM '01 Proceedings of the Second International Conference on Advances in Web-Age Information Management
Finding Intensional Knowledge of Distance-Based Outliers
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Mining Frequent Itemsets Using Support Constraints
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
The 3W Model and Algebra for Unified Data Mining
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Analyzing Quantitative Databases: Image is Everything
Proceedings of the 27th International Conference on Very Large Data Bases
Towards Efficient Re-mining of Frequent Patterns upon Threshold Changes
WAIM '02 Proceedings of the Third International Conference on Advances in Web-Age Information Management
Estimating Joint Probabilities from Marginal Ones
DaWaK 2000 Proceedings of the 4th International Conference on Data Warehousing and Knowledge Discovery
Data Mining of Association Rules and the Process of Knowledge Discovery in Databases
Industrial Conference on Data Mining: Advances in Data Mining, Applications in E-Commerce, Medicine, and Knowledge Management
Mining N-most Interesting Itemsets
ISMIS '00 Proceedings of the 12th International Symposium on Foundations of Intelligent Systems
Extending the Applicability of Association Rules
PAKDD '99 Proceedings of the Third Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining
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
Mining Optimal Class Association Rule Set
PAKDD '01 Proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining
User-Defined Association Mining
PAKDD '01 Proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining
Generating Frequent Patterns with the Frequent Pattern List
PAKDD '01 Proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining
A Confidence-Lift Support Specification for Interesting Associations Mining
PAKDD '02 Proceedings of the 6th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
On Dualization in Products of Forests
STACS '02 Proceedings of the 19th Annual Symposium on Theoretical Aspects of Computer Science
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
Mining Minimal Non-redundant Association Rules Using Frequent Closed Itemsets
CL '00 Proceedings of the First International Conference on Computational Logic
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
Query Initiated Discovery of Interesting Association Rules
DS '98 Proceedings of the First 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
Discovery of Interesting Usage Patterns from Web Data
WEBKDD '99 Revised Papers from the International Workshop on Web Usage Analysis and User Profiling
Mining Indirect Associations in Web Data
WEBKDD '01 Revised Papers from the Third International Workshop on Mining Web Log Data Across All Customers Touch Points
Detail and Context in Web Usage Mining: Coarsening and Visualizing Sequences
WEBKDD '01 Revised Papers from the Third International Workshop on Mining Web Log Data Across All Customers Touch Points
Efficient Data Mining Based on Formal Concept Analysis
DEXA '02 Proceedings of the 13th International Conference on Database and Expert Systems Applications
Answering the Most Correlated N Association Rules Efficiently
PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery
Clustering categorical data: an approach based on dynamical systems
The VLDB Journal — The International Journal on Very Large Data Bases
A template model for multidimensional inter-transactional association rules
The VLDB Journal — The International Journal on Very Large Data Bases
The use of web structure and content to identify subjectively interesting web usage patterns
ACM Transactions on Internet Technology (TOIT)
Pushing Support Constraints Into Association Rules Mining
IEEE Transactions on Knowledge and Data Engineering
From Association to Classification: Inference Using Weight of Evidence
IEEE Transactions on Knowledge and Data Engineering
An interactive visualization system for mining association rules
Data mining, rough sets and granular computing
A note on "beyond market baskets: generalizing association rules to correlations"
ACM SIGKDD Explorations Newsletter
On Maximal Frequent and Minimal Infrequent Sets in Binary Matrices
Annals of Mathematics and Artificial Intelligence
Discovering associations in very large databases by approximating
Acta Cybernetica
Mining dynamic databases by weighting
Acta Cybernetica
CSB '03 Proceedings of the IEEE Computer Society Conference on Bioinformatics
Off to new shores: conceptual knowledge discovery and processing
International Journal of Human-Computer Studies
Post-mining: maintenance of association rules by wieghting
Information Systems
Forecasting Association Rules Using Existing Data Sets
IEEE Transactions on Knowledge and Data Engineering
CoMine: Efficient Mining of Correlated Patterns
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Mining Strong Affinity Association Patterns in Data Sets with Skewed Support Distribution
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Direct Interesting Rule Generation
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach
Data Mining and Knowledge Discovery
Mining unexpected rules by pushing user dynamics
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)
Learning from User Behavior in Image Retrieval: Application of Market Basket Analysis
International Journal of Computer Vision - Special Issue on Content-Based Image Retrieval
Mining dependence rules by finding largest itemset support quota
Proceedings of the 2004 ACM symposium on Applied computing
On support thresholds in associative classification
Proceedings of the 2004 ACM symposium on Applied computing
Pushing Convertible Constraints in Frequent Itemset Mining
Data Mining and Knowledge Discovery
Selecting the right objective measure for association analysis
Information Systems - Knowledge discovery and data mining (KDD 2002)
An efficient cluster and decomposition algorithm for mining association rules
Information Sciences—Informatics and Computer Science: An International Journal
Mining Surprising Periodic Patterns
Data Mining and Knowledge Discovery
Frequent Pattern Mining on Message Passing Multiprocessor Systems
Distributed and Parallel Databases
Mining complex matchings across Web query interfaces
Proceedings of the 9th ACM SIGMOD workshop on Research issues in data mining and knowledge discovery
An associative classifier based on positive and negative rules
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)
Parallel tree-projection-based sequence mining algorithms
Parallel Computing
Discovering complex matchings across web query interfaces: a correlation mining approach
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
On the discovery of significant statistical quantitative rules
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Predicting Source Code Changes by Mining Change History
IEEE Transactions on Software Engineering
A fuzzy logic based method to acquire user threshold of minimum-support for mining association rules
Information Sciences—Informatics and Computer Science: An International Journal
Pruning and Visualizing Generalized Association Rules in Parallel Coordinates
IEEE Transactions on Knowledge and Data Engineering
Finding the most interesting correlations in a database: how hard can it be?
Information Systems
Generating a Condensed Representation for Association Rules
Journal of Intelligent Information Systems
TFP: An Efficient Algorithm for Mining Top-K Frequent Closed Itemsets
IEEE Transactions on Knowledge and Data Engineering
A sampling-based framework for parallel data mining
Proceedings of the tenth ACM SIGPLAN symposium on Principles and practice of parallel programming
Linear correlation discovery in databases: a data mining approach
Data & Knowledge Engineering
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
Information Sciences—Informatics and Computer Science: An International Journal
Mining condensed frequent-pattern bases
Knowledge and Information Systems
Toward alternative metrics of journal impact: a comparison of download and citation data
Information Processing and Management: an International Journal - Special issue: Infometrics
Using Information-Theoretic Measures to Assess Association Rule Interestingness
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
Generalizing the Notion of Confidence
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Maximal Association Rules: A Tool for Mining Associations in Text
Journal of Intelligent Information Systems
TAPER: A Two-Step Approach for All-Strong-Pairs Correlation Query in Large Databases
IEEE Transactions on Knowledge and Data Engineering
Automatic complex schema matching across Web query interfaces: A correlation mining approach
ACM Transactions on Database Systems (TODS)
Automated support specification for efficient mining of interesting association rules
Journal of Information Science
Associative text categorization exploiting negated words
Proceedings of the 2006 ACM symposium on Applied computing
Market basket recommendations for the HP SMB store
ACM SIGKDD Explorations Newsletter
Out-of-core frequent pattern mining on a commodity PC
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Assessing data mining results via swap randomization
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Mining quantitative correlated patterns using an information-theoretic approach
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Generating semantic annotations for frequent patterns with context analysis
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
CCCS: a top-down associative classifier for imbalanced class distribution
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Identifying bridging rules between conceptual clusters
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Cache-conscious frequent pattern mining on modern and emerging processors
The VLDB Journal — The International Journal on Very Large Data Bases
Proceedings of the 2006 workshop on Memory system performance and correctness
Enhanced mining of association rules from data cubes
DOLAP '06 Proceedings of the 9th ACM international workshop on Data warehousing and OLAP
Multi-evidence, multi-criteria, lazy associative document classification
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
ACM Transactions on Database Systems (TODS)
On compressing frequent patterns
Data & Knowledge Engineering
Horn axiomatizations for sequential data
Theoretical Computer Science
Comprehensive data warehouse exploration with qualified association-rule mining
Decision Support Systems
A General Framework for Mining Frequent Subgraphs from Labeled Graphs
Fundamenta Informaticae - Advances in Mining Graphs, Trees and Sequences
Toward terabyte pattern mining: an architecture-conscious solution
Proceedings of the 12th ACM SIGPLAN symposium on Principles and practice of parallel programming
CanTree: a canonical-order tree for incremental frequent-pattern mining
Knowledge and Information Systems
Intelligent Data Analysis
Automatic discovery of locally frequent itemsets in the presence of highly frequent itemsets
Intelligent Data Analysis
Mining top-k strongly correlated item pairs without minimum correlation threshold
International Journal of Knowledge-based and Intelligent Engineering Systems
Efficient mining of generalized association rules with non-uniform minimum support
Data & Knowledge Engineering
Soft constraint based pattern mining
Data & Knowledge Engineering
Out-of-core coherent closed quasi-clique mining from large dense graph databases
ACM Transactions on Database Systems (TODS)
Discovering Significant Patterns
Machine Learning
Visualization of attractive and repulsive zones between variables
AusDM '06 Proceedings of the fifth Australasian conference on Data mining and analystics - Volume 61
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
Correlation search in graph databases
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Mining complex power networks for blackout prevention
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
A Sketch Algorithm for Estimating Two-Way and Multi-Way Associations
Computational Linguistics
Optimization of association rule mining queries
Intelligent Data Analysis
Semantic annotation of frequent patterns
ACM Transactions on Knowledge Discovery from Data (TKDD)
Assessing data mining results via swap randomization
ACM Transactions on Knowledge Discovery from Data (TKDD)
Evaluation of rule interestingness measures in medical knowledge discovery in databases
Artificial Intelligence in Medicine
Toward supporting real-time mining for data residing on enterprise systems
Expert Systems with Applications: An International Journal
Optimization of frequent itemset mining on multiple-core processor
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
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)
Fuzzy correlation rules mining
ACOS'07 Proceedings of the 6th Conference on WSEAS International Conference on Applied Computer Science - Volume 6
An efficient incremental mining algorithm-QSD
Intelligent Data Analysis
Correlated pattern mining in quantitative databases
ACM Transactions on Database Systems (TODS)
Multiresolution image parametrization for improving texture classification
EURASIP Journal on Advances in Signal Processing
ON DATA STRUCTURES FOR ASSOCIATION RULE DISCOVERY
Applied Artificial Intelligence
A survey on algorithms for mining frequent itemsets over data streams
Knowledge and Information Systems
Anonymizing transaction databases for publication
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Volatile correlation computation: a checkpoint view
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
An information-theoretic approach to quantitative association rule mining
Knowledge and Information Systems
The importance of negative associations and the discovery of association rule pairs
International Journal of Business Intelligence and Data Mining
Mining infrequent and interesting rules from transaction records
AIKED'08 Proceedings of the 7th WSEAS International Conference on Artificial intelligence, knowledge engineering and data bases
A Unified View of Objective Interestingness Measures
MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition
Mining Both Positive and Negative Association Rules from Frequent and Infrequent Itemsets
ADMA '07 Proceedings of the 3rd international conference on Advanced Data Mining and Applications
Comparing Rule Measures for Predictive Association Rules
ECML '07 Proceedings of the 18th European conference on Machine Learning
Association Mining in Large Databases: A Re-examination of Its Measures
PKDD 2007 Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases
Mining Interesting Infrequent and Frequent Itemsets Based on MLMS Model
ADMA '08 Proceedings of the 4th international conference on Advanced Data Mining and Applications
A Comparative Study of Correlation Measurements for Searching Similar Tags
ADMA '08 Proceedings of the 4th international conference on Advanced Data Mining and Applications
Maximum entropy based significance of itemsets
Knowledge and Information Systems
Using tag semantic network for keyphrase extraction in blogs
Proceedings of the 17th ACM conference on Information and knowledge management
TCOM, an innovative data structure for mining association rules among infrequent items
Computers & Mathematics with Applications
A fuzzy statistics based method for mining fuzzy correlation rules
WSEAS Transactions on Mathematics
Mining class-bridge rules based on rough sets
Expert Systems with Applications: An International Journal
Query by shots: retrieving meaningful events using multiple queries and rough set theory
Proceedings of the 9th International Workshop on Multimedia Data Mining: held in conjunction with the ACM SIGKDD 2008
Estimating the number of frequent itemsets in a large database
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
Top-K Correlation Sub-graph Search in Graph Databases
DASFAA '09 Proceedings of the 14th International Conference on Database Systems for Advanced Applications
In the Search of NECTARs from Evolutionary Trees
DASFAA '09 Proceedings of the 14th International Conference on Database Systems for Advanced Applications
An Improved Algorithm for Mining Non-Redundant Interacting Feature Subsets
APWeb/WAIM '09 Proceedings of the Joint International Conferences on Advances in Data and Web Management
Compression-Based Measures for Mining Interesting Rules
IEA/AIE '09 Proceedings of the 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: Next-Generation Applied Intelligence
Cluster-grouping: from subgroup discovery to clustering
Machine Learning
Extracting Decision Correlation Rules
DEXA '09 Proceedings of the 20th International Conference on Database and Expert Systems Applications
Graph weaknesses in commonsense causal representation
ICCOMP'09 Proceedings of the WSEAES 13th international conference on Computers
General causal representation in the medical domain
ICCOMP'09 Proceedings of the WSEAES 13th international conference on Computers
Discovery of unapparent association rules based on extracted probability
Decision Support Systems
Predictive algorithms in the management of computer systems
IBM Systems Journal
Exploiting association and correlation rules parameters for learning Bayesian networks
Intelligent Data Analysis
Mining frequent arrangements of temporal intervals
Knowledge and Information Systems
Data mining of vector–item patterns using neighborhood histograms
Knowledge and Information Systems
Measure-driven keyword-query expansion
Proceedings of the VLDB Endowment
Proceedings of the VLDB Endowment
An Intelligent Alarm Management System for Large-Scale Telecommunication Companies
EPIA '09 Proceedings of the 14th Portuguese Conference on Artificial Intelligence: Progress in Artificial Intelligence
New Classification Method Based on Support-Significant Association Rules Algorithm
ICIC '07 Proceedings of the 3rd International Conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence
Data Mining by Navigation --- An Experience with Systems Biology
PReMI '09 Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence
Engineering Applications of Artificial Intelligence
A novel manufacturing defect detection method using association rule mining techniques
Expert Systems with Applications: An International Journal
Elicitation of fuzzy association rules from positive and negative examples
Fuzzy Sets and Systems
Examples, counterexamples, and measuring fuzzy associations
Fuzzy Sets and Systems
Toward alternative metrics of journal impact: A comparison of download and citation data
Information Processing and Management: an International Journal - Special issue: Infometrics
Information Sciences: an International Journal
Keyword search for data-centric XML collections with long text fields
Proceedings of the 13th International Conference on Extending Database Technology
Summary queries for frequent itemsets mining
Journal of Systems and Software
CBAR: an efficient method for mining association rules
Knowledge-Based Systems
Efficient mining of indirect associations using HI-mine
AI'03 Proceedings of the 16th Canadian society for computational studies of intelligence conference on Advances in artificial intelligence
Search bound strategies for rule mining by iterative deepening
AI'03 Proceedings of the 16th Canadian society for computational studies of intelligence conference on Advances in artificial intelligence
Discovering correlated items in data streams
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
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
Tight correlated item sets and their efficient discovery
APWeb/WAIM'07 Proceedings of the joint 9th Asia-Pacific web and 8th international conference on web-age information management conference on Advances in data and web management
Mining uncertain data for frequent itemsets that satisfy aggregate constraints
Proceedings of the 2010 ACM Symposium on Applied Computing
A study on interestingness measures for associative classifiers
Proceedings of the 2010 ACM Symposium on Applied Computing
Extending the soft constraint based mining paradigm
KDID'06 Proceedings of the 5th international conference on Knowledge discovery in inductive databases
On approximating minimum infrequent and maximum frequent sets
DS'07 Proceedings of the 10th international conference on Discovery science
Efficiently finding negative association rules without support threshold
AI'07 Proceedings of the 20th Australian joint conference on Advances in artificial intelligence
Minimum variance associations: discovering relationships in numerical data
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
Mining a complete set of both positive and negative association rules from large databases
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
Mining non-coincidental rules without a user defined support threshold
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
Generating positive and negative exact rules using formal concept analysis: problems and solutions
ICFCA'08 Proceedings of the 6th international conference on Formal concept analysis
Association rule mining: models and algorithms
Association rule mining: models and algorithms
Yet another approach for completing missing values
CLA'06 Proceedings of the 4th international conference on Concept lattices and their applications
Galois lattices and bases for MGK-valid association rules
CLA'06 Proceedings of the 4th international conference on Concept lattices and their applications
Point-distribution algorithm for mining vector-item patterns
Proceedings of the ACM SIGKDD Workshop on Useful Patterns
A method of association rule analysis for incomplete database using genetic network programming
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Using background knowledge to rank itemsets
Data Mining and Knowledge Discovery
Re-examination of interestingness measures in pattern mining: a unified framework
Data Mining and Knowledge Discovery
Discovering itemset interactions
ACSC '09 Proceedings of the Thirty-Second Australasian Conference on Computer Science - Volume 91
Efficient set-correlation operator inside databases
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Mining significant least association rules using fast SLP-growth algorithm
AST/UCMA/ISA/ACN'10 Proceedings of the 2010 international conference on Advances in computer science and information technology
Transactions on rough sets XII
A concise representation of association rules using minimal predictive rules
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part I
Using ontologies to facilitate post-processing of association rules by domain experts
Information Sciences: an International Journal
A performance evaluation framework for association mining in spatial data
Journal of Intelligent Information Systems
Information Systems Frontiers
Scaling up top-K cosine similarity search
Data & Knowledge Engineering
DS'10 Proceedings of the 13th international conference on Discovery science
Using structural information in XML keyword search effectively
ACM Transactions on Database Systems (TODS)
Towards learned feedback for enhancing trust in information seeking dialogue for radiologists
Proceedings of the 16th international conference on Intelligent user interfaces
Mining interestingness measures for string pattern mining
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part I
Regression analysis of the number of association rules
International Journal of Automation and Computing
Domain-driven KDD for mining functionally novel rules and linking disjoint medical hypotheses
Knowledge-Based Systems
Can the Utility of Anonymized Data be Used for Privacy Breaches?
ACM Transactions on Knowledge Discovery from Data (TKDD)
Secure top-k subgroup discovery
PSDML'10 Proceedings of the international ECML/PKDD conference on Privacy and security issues in data mining and machine learning
Understanding atrophy trajectories in alzheimer's disease using association rules on MRI images
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Tell me what i need to know: succinctly summarizing data with itemsets
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
A simple statistical model and association rule filtering for classification
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Analysis of measures of quantitative association rules
HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part II
Mining interestingness measures for string pattern mining
Knowledge-Based Systems
Contrasting correlations by an efficient double-clique condition
MLDM'11 Proceedings of the 7th international conference on Machine learning and data mining in pattern recognition
Efficient mining of top correlated patterns based on null-invariant measures
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part II
Network node label acquisition and tracking
EPIA'11 Proceedings of the 15th Portugese conference on Progress in artificial intelligence
Cosine interesting pattern discovery
Information Sciences: an International Journal
ReDRIVE: result-driven database exploration through recommendations
Proceedings of the 20th ACM international conference on Information and knowledge management
Fast mining erasable itemsets using NC_sets
Expert Systems with Applications: An International Journal
Controlling false positives in association rule mining
Proceedings of the VLDB Endowment
Mining interesting XML-enabled association rules with templates
KDID'04 Proceedings of the Third international conference on Knowledge Discovery in Inductive Databases
Efficiently mining both association and correlation rules
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
Mining flipping correlations from large datasets with taxonomies
Proceedings of the VLDB Endowment
An FP-tree based approach for mining all strongly correlated item pairs
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part I
An efficient approach for interactive mining of frequent itemsets
WAIM'05 Proceedings of the 6th international conference on Advances in Web-Age Information Management
Mining both associated and correlated patterns
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part IV
Extended negative association rules and the corresponding mining algorithm
ICMLC'05 Proceedings of the 4th international conference on Advances in Machine Learning and Cybernetics
Optimized rule mining through a unified framework for interestingness measures
DaWaK'06 Proceedings of the 8th international conference on Data Warehousing and Knowledge Discovery
Study of positive and negative association rules based on multi-confidence and chi-squared test
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
Efficiently mining mutually and positively correlated patterns
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
Neural network architecture selection: size depends on function complexity
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part I
DASFAA'10 Proceedings of the 15th international conference on Database Systems for Advanced Applications - Volume Part I
Discovery of temporal frequent patterns using TFP-Tree
WAIM '06 Proceedings of the 7th international conference on Advances in Web-Age Information Management
Associative classification based on correlation analysis
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
Efficient mining of association rules based on formal concept analysis
Formal Concept Analysis
MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition
An approach to mining local causal relationships from databases
ADMA'05 Proceedings of the First international conference on Advanced Data Mining and Applications
Mining correlated rules for associative classification
ADMA'05 Proceedings of the First international conference on Advanced Data Mining and Applications
Pruning derivative partial rules during impact rule discovery
PAKDD'05 Proceedings of the 9th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Mining frequent ordered patterns
PAKDD'05 Proceedings of the 9th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Concept-Based search on semi-structured data exploiting mined semantic relations
EDBT'04 Proceedings of the 2004 international conference on Current Trends in Database Technology
A platform for situational awareness in operational BI
Decision Support Systems
An algorithm for mining implicit itemset pairs based on differences of correlations
DS'05 Proceedings of the 8th international conference on Discovery Science
Mining indirect association rules
ICDM'04 Proceedings of the 4th international conference on Advances in Data Mining: applications in Image Mining, Medicine and Biotechnology, Management and Environmental Control, and Telecommunications
Association rule mining with chi-squared test using alternate genetic network programming
ICDM'06 Proceedings of the 6th Industrial Conference on Data Mining conference on Advances in Data Mining: applications in Medicine, Web Mining, Marketing, Image and Signal Mining
On approximation algorithms for data mining applications
Efficient Approximation and Online Algorithms
Flexible online association rule mining based on multidimensional pattern relations
Information Sciences: an International Journal
AI'06 Proceedings of the 19th international conference on Advances in Artificial Intelligence: Canadian Society for Computational Studies of Intelligence
WISE'06 Proceedings of the 7th international conference on Web Information Systems
Ranking sequential patterns with respect to significance
PAKDD'10 Proceedings of the 14th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
Multidimensional frequent pattern mining using association rule based constraints
ICDCIT'05 Proceedings of the Second international conference on Distributed Computing and Internet Technology
Finding all minimal infrequent multi-dimensional intervals
LATIN'06 Proceedings of the 7th Latin American conference on Theoretical Informatics
Dynamic rank correlation computing for financial risk analysis
KSEM'11 Proceedings of the 5th international conference on Knowledge Science, Engineering and Management
PAKDD'11 Proceedings of the 15th international conference on New Frontiers in Applied Data Mining
Discriminatory confidence analysis in pattern mining
ADMA'11 Proceedings of the 7th international conference on Advanced Data Mining and Applications - Volume Part I
Secure Distributed Subgroup Discovery in Horizontally Partitioned Data
Transactions on Data Privacy
Hybrid genetic algorithm and association rules for mining workflow best practices
Expert Systems with Applications: An International Journal
A new class of constraints for constrained frequent pattern mining
Proceedings of the 27th Annual ACM Symposium on Applied Computing
I-prune: Item selection for associative classification
International Journal of Intelligent Systems
Improving hierarchical document cluster labels through candidate term selection
Intelligent Decision Technologies
PrivBasis: frequent itemset mining with differential privacy
Proceedings of the VLDB Endowment
A constrained frequent pattern mining system for handling aggregate constraints
Proceedings of the 16th International Database Engineering & Applications Sysmposium
Mop: An Efficient Algorithm for Mining Frequent Pattern with Subtree Traversing
Fundamenta Informaticae
Efficient discovery of understandable declarative process models from event logs
CAiSE'12 Proceedings of the 24th international conference on Advanced Information Systems Engineering
A General Framework for Mining Frequent Subgraphs from Labeled Graphs
Fundamenta Informaticae - Advances in Mining Graphs, Trees and Sequences
Event correlation for operations management of largescale IT systems
Proceedings of the 9th international conference on Autonomic computing
Mining event logs to support workflow resource allocation
Knowledge-Based Systems
Summarizing data succinctly with the most informative itemsets
ACM Transactions on Knowledge Discovery from Data (TKDD) - Special Issue on the Best of SIGKDD 2011
Computing Implications with Negation from a Formal Context
Fundamenta Informaticae - Concept Lattices and Their Applications
Efficient mining of correlated sequential patterns based on null hypothesis
Proceedings of the 2012 international workshop on Web-scale knowledge representation, retrieval and reasoning
Extraction of association rules based on literalsets
DaWaK'07 Proceedings of the 9th international conference on Data Warehousing and Knowledge Discovery
CGStream: continuous correlated graph query for data streams
Proceedings of the 21st ACM international conference on Information and knowledge management
Optimonotone Measures For Optimal Rule Discovery
Computational Intelligence
PRICAI'12 Proceedings of the 12th Pacific Rim international conference on Trends in Artificial Intelligence
A bayesian scoring technique for mining predictive and non-spurious rules
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part II
Constrained Cube Lattices for Multidimensional Database Mining
International Journal of Data Warehousing and Mining
PARAS: a parameter space framework for online association mining
Proceedings of the VLDB Endowment
Mining high coherent association rules with consideration of support measure
Expert Systems with Applications: An International Journal
An improved neighborhood-restricted association rule-based recommender system
ADC '13 Proceedings of the Twenty-Fourth Australasian Database Conference - Volume 137
String analysis by sliding positioning strategy
Journal of Computer and System Sciences
Misleading Generalized Itemset discovery
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
High performance evaluation of evolutionary-mined association rules on GPUs
The Journal of Supercomputing
Scaling up cosine interesting pattern discovery: A depth-first method
Information Sciences: an International Journal
Interestingness measures for association rules within groups
Intelligent Data Analysis
Behavior-based clustering and analysis of interestingness measures for association rule mining
Data Mining and Knowledge Discovery
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One of the most well-studied problems in data mining is mining for association rules in market basket data. Association rules, whose significance is measured via support and confidence, are intended to identify rules of the type, “A customer purchasing item A often also purchases item B.” Motivated by the goal of generalizing beyond market baskets and the association rules used with them, we develop the notion of mining rules that identify correlations (generalizing associations), and we consider both the absence and presence of items as a basis for generating rules. We propose measuring significance of associations via the chi-squared test for correlation from classical statistics. This leads to a measure that is upward closed in the itemset lattice, enabling us to reduce the mining problem to the search for a border between correlated and uncorrelated itemsets in the lattice. We develop pruning strategies and devise an efficient algorithm for the resulting problem. We demonstrate its effectiveness by testing it on census data and finding term dependence in a corpus of text documents, as well as on synthetic data.