VLDB '89 Proceedings of the 15th international conference on Very large data bases
Sequential sampling procedures for query size estimation
SIGMOD '92 Proceedings of the 1992 ACM SIGMOD international conference on Management of data
Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
The power of sampling in knowledge discovery
PODS '94 Proceedings of the thirteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Finding interesting rules from large sets of discovered association rules
CIKM '94 Proceedings of the third 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
Fast discovery of association rules
Advances in knowledge discovery and data mining
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
NeuroRule: A Connectionist Approach to Data Mining
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Dynamic itemset counting and implication rules for market basket data
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Beyond market baskets: generalizing association rules to correlations
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Association rules over interval data
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
A localized algorithm for parallel association mining
Proceedings of the ninth annual ACM symposium on Parallel algorithms and architectures
Designing Templates for Mining Association Rules
Journal of Intelligent Information Systems
Mining association rules with adjustable accuracy
CIKM '97 Proceedings of the sixth international conference on Information and knowledge management
Exploratory mining and pruning optimizations of constrained associations rules
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
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
Integrating association rule mining with relational database systems: alternatives and implications
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Online algorithms for finding profile association rules
Proceedings of the seventh international conference on Information and knowledge management
Proceedings of the seventh international conference on Information and knowledge management
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
Scalable algorithms for mining large databases
KDD '99 Tutorial notes of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Using a knowledge cache for interactive discovery of association rules
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
An efficient algorithm to update large itemsets with early pruning
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Breaking the barrier of transactions: mining inter-transaction association rules
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Data mining and the Web: past, present and future
Proceedings of the 2nd international workshop on Web information and data management
Efficient mining of association rules in text databases
Proceedings of the eighth international conference on Information and knowledge management
Data Mining in Large Databases Using Domain Generalization Graphs
Journal of Intelligent Information Systems
Mining high-speed data streams
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Efficient search for association rules
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
A sequential sampling algorithm for a general class of utility criteria
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Targeting the right students using data mining
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
ACM Transactions on Information Systems (TOIS)
ACM Transactions on Database Systems (TODS)
A condensed representation to find frequent patterns
PODS '01 Proceedings of the twentieth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
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”
Using Association Rules as Texture Features
IEEE Transactions on Pattern Analysis and Machine Intelligence
Sliding-window filtering: an efficient algorithm for incremental mining
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
Towards long pattern generation in dense databases
ACM SIGKDD Explorations Newsletter
A parameterised algorithm for mining association rules
ADC '01 Proceedings of the 12th Australasian database conference
Mining long sequential patterns in a noisy environment
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Discovery of relational association rules
Relational Data Mining
An efficient and effective algorithm for density biased sampling
Proceedings of the eleventh international conference on Information and knowledge management
Levelwise Search and Borders of Theories in KnowledgeDiscovery
Data Mining and Knowledge Discovery
Parallel Algorithms for Discovery of Association Rules
Data Mining and Knowledge Discovery
Beyond Market Baskets: Generalizing Association Rules to Dependence Rules
Data Mining and Knowledge Discovery
Is Sampling Useful in Data Mining? A Case in the Maintenance of Discovered Association Rules
Data Mining and Knowledge Discovery
A Microeconomic View of Data Mining
Data Mining and Knowledge Discovery
Discovery of frequent DATALOG patterns
Data Mining and Knowledge Discovery
A Survey of Methods for Scaling Up Inductive Algorithms
Data Mining and Knowledge Discovery
Integrating Association Rule Mining with Relational Database Systems: Alternatives and Implications
Data Mining and Knowledge Discovery
Adaptive Sampling Methods for Scaling Up Knowledge Discovery Algorithms
Data Mining and Knowledge Discovery
A lattice-based approach for I/O efficient association rule mining
Information Systems - Databases: Creation, management and utilization
An Adaptive Algorithm for Mining Association Rules on Shared-Memory Parallel Machines
Distributed and Parallel Databases
Scoring the Data Using Association Rules
Applied Intelligence
Computer
Scalable Algorithms for Association Mining
IEEE Transactions on Knowledge and Data Engineering
A New Approach to Online Generation of Association Rules
IEEE Transactions on Knowledge and Data Engineering
Effect of Data Skewness and Workload Balance in Parallel Data Mining
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
Fast Algorithms for Online Generation of Profile Association Rules
IEEE Transactions on Knowledge and Data Engineering
A pattern decomposition algorithm for data mining of frequent patterns
Knowledge and Information Systems
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
Efficiently Determining the Starting Sample Size for Progressive Sampling
EMCL '01 Proceedings of the 12th European Conference on Machine Learning
Incremental Mining of Constrained Associations
HiPC '00 Proceedings of the 7th International Conference on High Performance Computing
Discovering Frequent Closed Itemsets for Association Rules
ICDT '99 Proceedings of the 7th International Conference on Database Theory
Exploiting Dataset Similarity for Distributed Mining
IPDPS '00 Proceedings of the 15 IPDPS 2000 Workshops on Parallel and Distributed Processing
Materialized Data Mining Views
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
Schema Mining: Finding Structural Regularity among Semistructured Data
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
Mining Weighted Association Rules for Fuzzy Quantitative Items
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
A Scalable Constant-Memory Sampling Algorithm for Pattern Discovery in Large Databases
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
On the Discovery of Interesting Patterns in Association Rules
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Clustering Categorical Data: An Approach Based on Dynamical Systems
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
A General Architecture for Finding Structural Regularities on the Web
AIMSA '00 Proceedings of the 9th International Conference on Artificial Intelligence: Methodology, Systems, and Applications
Data Mining in a Multidimensional Environment
ADBIS '99 Proceedings of the Third East European Conference on Advances in Databases and Information Systems
A New Approach for the Discovery of Frequent Itemsets
DaWaK '99 Proceedings of the First International Conference on Data Warehousing and Knowledge Discovery
Considering Main Memory in Mining Association Rules
DaWaK '99 Proceedings of the First International Conference on Data Warehousing and Knowledge Discovery
Mining of Association Rules in Text Databases Using Inverted Hashing and Pruning
DaWaK 2000 Proceedings of the Second International Conference on Data Warehousing and Knowledge Discovery
On Supporting Interactive Association Rule Mining
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
An Index for the Data Size to Extract Decomposable Structures in LAD
ISAAC '01 Proceedings of the 12th International Symposium on Algorithms and Computation
Data Reduction via Conflicting Data Analysis
ISMIS '00 Proceedings of the 12th International Symposium on Foundations of Intelligent Systems
Using Closed Itemsets for Discovering Representative Association Rules
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
LGen - A Lattice-Based Candidate Set Generation Algorithm for I/O Efficient Association Rule Mining
PAKDD '99 Proceedings of the Third Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining
Efficient Detection of Local Interactions in the Cascade Model
PADKK '00 Proceedings of the 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Current Issues and New Applications
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
Density-Based Mining of Quantitative Association Rules
PADKK '00 Proceedings of the 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Current Issues and New Applications
PADKK '00 Proceedings of the 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Current Issues and New Applications
Generating Frequent Patterns with the Frequent Pattern List
PAKDD '01 Proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining
Top Down FP-Growth for Association Rule Mining
PAKDD '02 Proceedings of the 6th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Building an Information and Knowledge Fusion System
Proceedings of the 14th International conference on Industrial and engineering applications of artificial intelligence and expert systems: engineering of intelligent systems
Efficiently Matching Proximity Relationships in Spatial Databases
SSD '99 Proceedings of the 6th International Symposium on Advances in Spatial Databases
Post-processing Operators for Browsing Large Sets of Association Rules
DS '02 Proceedings of the 5th International Conference on Discovery Science
Adaptive Sampling Methods for Scaling Up Knowledge Discovery Algorithms
DS '99 Proceedings of the Second International Conference on Discovery Science
A Survey of Association-Rule Mining
DS '00 Proceedings of the Third International Conference on Discovery Science
Parallel and Distributed Data Mining: An Introduction
Revised Papers from Large-Scale Parallel Data Mining, Workshop on Large-Scale Parallel KDD Systems, SIGKDD
Efficient Parallel Algorithms for Mining Associations
Revised Papers from Large-Scale Parallel Data Mining, Workshop on Large-Scale Parallel KDD Systems, SIGKDD
DEXA '00 Proceedings of the 11th International Conference on Database and Expert Systems Applications
Efficient Data Mining Based on Formal Concept Analysis
DEXA '02 Proceedings of the 13th International Conference on Database and Expert Systems Applications
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
Unified descriptive language for association rules in data mining
Second international workshop on Intelligent systems design and application
Mining frequent item sets by opportunistic projection
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
Progressive rademacher sampling
Eighteenth national conference on Artificial intelligence
Handbook of data mining and knowledge discovery
Data mining tasks and methods: Rule discovery: association rules
Handbook of data mining and knowledge discovery
Guiding knowledge discovery through interactive data mining
Managing data mining technologies in organizations
Mining and monitoring evolving data
Handbook of massive data sets
An interactive visualization system for mining association rules
Data mining, rough sets and granular computing
Scoring and ranking the data using association rules
Data mining, rough sets and granular computing
Mining Fuzzy Quantitative Association Rules
ICTAI '99 Proceedings of the 11th IEEE International Conference on Tools with Artificial Intelligence
Incremental mining of sequential patterns in large databases
Data & Knowledge Engineering
Discovering associations in very large databases by approximating
Acta Cybernetica
Efficient Biased Sampling for Approximate Clustering and Outlier Detection in Large Data Sets
IEEE Transactions on Knowledge and Data Engineering
Finding the most interesting patterns in a database quickly by using sequential sampling
The Journal of Machine Learning Research
Off to new shores: conceptual knowledge discovery and processing
International Journal of Human-Computer Studies
Forecasting Association Rules Using Existing Data Sets
IEEE Transactions on Knowledge and Data Engineering
Itemset Trees for Targeted Association Querying
IEEE Transactions on Knowledge and Data Engineering
A High-Performance Distributed Algorithm for Mining Association Rules
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Optimized Disjunctive Association Rules via Sampling
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Tree Structures for Mining Association Rules
Data Mining and Knowledge Discovery
Efficient data reduction with EASE
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
PROXIMUS: a framework for analyzing very high dimensional discrete-attributed datasets
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
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
Efficient dynamic mining of constrained frequent sets
ACM Transactions on Database Systems (TODS)
Efficient data mining for calling path patterns in GSM networks
Information Systems
DBC: a condensed representation of frequent patterns for efficient mining
Information Systems
Communication-Efficient Distributed Mining of Association Rules
Data Mining and Knowledge Discovery
On the complexity of inducing categorical and quantitative association rules
Theoretical Computer Science
An efficient cluster and decomposition algorithm for mining association rules
Information Sciences—Informatics and Computer Science: An International Journal
Efficient automatic discovery of 'hot' itemsets
Information Processing Letters
Memory-adative association rules mining
Information Systems - Databases: Creation, management and utilization
Cost-based labeling of groups of mass spectra
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Online maintenance of very large random samples
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Advances in frequent itemset mining implementations: report on FIMI'03
ACM SIGKDD Explorations Newsletter - Special issue on learning from imbalanced datasets
Specifying Mining Algorithms with Iterative User-Defined Aggregates
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
Finding hot query patterns over an XQuery stream
The VLDB Journal — The International Journal on Very Large Data Bases
Iterative Projected Clustering by Subspace Mining
IEEE Transactions on Knowledge and Data Engineering
Compression, Clustering, and Pattern Discovery in Very High-Dimensional Discrete-Attribute Data Sets
IEEE Transactions on Knowledge and Data Engineering
Approximate counts and quantiles over sliding windows
PODS '04 Proceedings of the twenty-third ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
A high-performance distributed algorithm for mining association rules
Knowledge and Information Systems
Using information retrieval techniques for supporting data mining
Data & Knowledge Engineering
Using Evolutionary Algorithms for Defining the Sampling Policy of Complex N-Partite Networks
IEEE Transactions on Knowledge and Data Engineering
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
Fast discovery of unexpected patterns in data, relative to a Bayesian network
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Fast Algorithms for Frequent Itemset Mining Using FP-Trees
IEEE Transactions on Knowledge and Data Engineering
Information Sciences—Informatics and Computer Science: An International Journal
Design of a next generation sampling service for large scale data analysis applications
Proceedings of the 19th annual international conference on Supercomputing
MAFIA: A Maximal Frequent Itemset Algorithm
IEEE Transactions on Knowledge and Data Engineering
An Algorithm for In-Core Frequent Itemset Mining on Streaming Data
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Average Number of Frequent (Closed) Patterns in Bernouilli and Markovian Databases
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Graph indexing based on discriminative frequent structure analysis
ACM Transactions on Database Systems (TODS) - Special Issue: SIGMOD/PODS 2004
ACM Computing Surveys (CSUR)
Nonorthogonal decomposition of binary matrices for bounded-error data compression and analysis
ACM Transactions on Mathematical Software (TOMS)
A trie-based APRIORI implementation for mining frequent item sequences
Proceedings of the 1st international workshop on open source data mining: frequent pattern mining implementations
Intelligent information processing II
Efficiently mining frequent itemsets with compact FP-tree
Intelligent information processing II
Frequency-based views to pattern collections
Discrete Applied Mathematics - Special issue: Discrete mathematics & data mining II (DM & DM II)
Indexed-based density biased sampling for clustering applications
Data & Knowledge Engineering
Optimization-based feature selection with adaptive instance sampling
Computers and Operations Research
A further study in the data partitioning approach for frequent itemsets mining
ADC '06 Proceedings of the 17th Australasian Database Conference - Volume 49
Multi-scaling sampling: an adaptive sampling method for discovering approximate association rules
Journal of Computer Science and Technology
Partitioning strategies for distributed association rule mining
The Knowledge Engineering Review
Domain and data partitioning for parallel mining of frequent closed itemsets
Proceedings of the 43rd annual Southeast regional conference - Volume 1
Proceedings of the 6th ACM SIGCOMM conference on Internet measurement
Mining Generalized Associations of Semantic Relations from Textual Web Content
IEEE Transactions on Knowledge and Data Engineering
Mining evolving data streams for frequent patterns
Pattern Recognition
Association rules mining using heavy itemsets
Data & Knowledge Engineering
Toward terabyte pattern mining: an architecture-conscious solution
Proceedings of the 12th ACM SIGPLAN symposium on Principles and practice of parallel programming
Expert Systems with Applications: An International Journal
Parallel mining of association rules from text databases
The Journal of Supercomputing
Automatic discovery of locally frequent itemsets in the presence of highly frequent itemsets
Intelligent Data Analysis
Association mining in time-varying domains
Intelligent Data Analysis
Finding association rules that trade support optimally against confidence
Intelligent Data Analysis
Searching for high-support itemsets in itemset trees
Intelligent Data Analysis
EDUA: An efficient algorithm for dynamic database mining
Information Sciences: an International Journal
Exploratory spatio-temporal data mining and visualization
Journal of Visual Languages and Computing
Twain: Two-end association miner with precise frequent exhibition periods
ACM Transactions on Knowledge Discovery from Data (TKDD)
Incremental mining for temporal association rules for crime pattern discoveries
ADC '07 Proceedings of the eighteenth conference on Australasian database - Volume 63
A new deterministic data aggregation method for wireless sensor networks
Signal Processing
Approximate frequency counts over data streams
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
A Sketch Algorithm for Estimating Two-Way and Multi-Way Associations
Computational Linguistics
Association-based similarity testing and its applications
Intelligent Data Analysis
Mining association rules using clustering
Intelligent Data Analysis
Computers & Mathematics with Applications
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Deterministic algorithms for sampling count data
Data & Knowledge Engineering
A scalable pattern mining approach to web graph compression with communities
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Efficient online mining of large databases
International Journal of Business Information Systems
A time- and memory-efficient frequent itemset discovering algorithm for association rule mining
International Journal of Computer Applications in Technology
An efficient algorithm for mining frequent closed itemsets in dynamic transaction databases
International Journal of Intelligent Systems Technologies and Applications
Intelligent Data Analysis - Knowlegde Discovery from Data Streams
Approximate mining of frequent patterns on streams
Intelligent Data Analysis - Knowlegde Discovery from Data Streams
An efficient incremental mining algorithm-QSD
Intelligent Data Analysis
A data mining proxy approach for efficient frequent itemset mining
The VLDB Journal — The International Journal on Very Large Data Bases
A bottom-up projection based algorithm for mining high utility itemsets
AIDM '07 Proceedings of the 2nd international workshop on Integrating artificial intelligence and data mining - Volume 84
Maintaining very large random samples using the geometric file
The VLDB Journal — The International Journal on Very Large Data Bases
The VLDB Journal — The International Journal on Very Large Data Bases
Towards a framework for mining and analysing spatio-temporal datasets
International Journal of Geographical Information Science - Geovisual Analytics for Spatial Decision Support
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
Index-BitTableFI: An improved algorithm for mining frequent itemsets
Knowledge-Based Systems
An approach to online optimization of heuristic coordination algorithms
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 2
A Methodology for Exploring Association Models
Visual Data Mining
A Framework for Data Structure-Guided Extraction of XML Association Rules
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part III: ICCS 2007
Adaptive shared-state sampling
Proceedings of the 8th ACM SIGCOMM conference on Internet measurement
Knowledge discovery query language (KDQL)
ICCOMP'08 Proceedings of the 12th WSEAS international conference on Computers
Analysis of sampling techniques for association rule mining
Proceedings of the 12th International Conference on Database Theory
Sample synopses for approximate answering of group-by queries
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
Estimating the number of frequent itemsets in a large database
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
A Randomness Based Analysis on the Data Size Needed for Removing Deceptive Patterns
IEICE - Transactions on Information and Systems
Image mining using association rules derived from feature matrix
Proceedings of the International Conference on Advances in Computing, Communication and Control
Improved methods for extracting frequent itemsets from interim-support trees
Software—Practice & Experience
A new sampling technique for association rule mining
Journal of Information Science
A decremental algorithm of frequent itemset maintenance for mining updated databases
Expert Systems with Applications: An International Journal
Models for association rules based on clustering and correlation
Intelligent Data Analysis
Issues in pattern mining and their resolutions
C3S2E '09 Proceedings of the 2nd Canadian Conference on Computer Science and Software Engineering
A lower bound on the sample size needed to perform a significant frequent pattern mining task
Pattern Recognition Letters
Estimating the confidence of conditional functional dependencies
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Efficient Frequent Itemsets Mining by Sampling
Proceedings of the 2006 conference on Advances in Intelligent IT: Active Media Technology 2006
Journal of Data and Information Quality (JDIQ)
Which Is Better for Frequent Pattern Mining: Approximate Counting or Sampling?
DaWaK '09 Proceedings of the 11th International Conference on Data Warehousing and Knowledge Discovery
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Journal of Artificial Intelligence Research
Adaptive web sites: conceptual cluster mining
IJCAI'99 Proceedings of the 16th international joint conference on Artifical intelligence - Volume 1
Toward more parallel frequent itemset mining algorithms
PDCS '07 Proceedings of the 19th IASTED International Conference on Parallel and Distributed Computing and Systems
Mining association rules in tree structured XML data
Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human
An efficient algorithm for finding dense regions for mining quantitative association rules
Computers & Mathematics with Applications
Output space sampling for graph patterns
Proceedings of the VLDB Endowment
Mining graph patterns efficiently via randomized summaries
Proceedings of the VLDB Endowment
Frequency-based views to pattern collections
Discrete Applied Mathematics - Special issue: Discrete mathematics & data mining II (DM & DM II)
Information Sciences: an International Journal
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
CBAR: an efficient method for mining association rules
Knowledge-Based Systems
Fast UDFs to compute sufficient statistics on large data sets exploiting caching and sampling
Data & Knowledge Engineering
Efficiently maintaining structural associations of semistructured data
PCI'01 Proceedings of the 8th Panhellenic conference on Informatics
Discovering association patterns based on mutual information
MLDM'03 Proceedings of the 3rd international conference on Machine learning and data mining in pattern recognition
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
Processing sequential patterns in relational databases
Journal on data semantics VIII
Performance study of distributed Apriori-like frequent itemsets mining
Knowledge and Information Systems
Depth first generation of frequent patterns without candidate generation
PAKDD'07 Proceedings of the 2007 international conference on Emerging technologies in knowledge discovery and data mining
Top-down and bottom-up strategies for incremental maintenance of frequent patterns
PAKDD'07 Proceedings of the 2007 international conference on Emerging technologies in knowledge discovery and data mining
Imprecise causality in mined rules
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
Association rule mining: models and algorithms
Association rule mining: models and algorithms
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 2
A test paradigm for detecting changes in transactional data streams
DASFAA'08 Proceedings of the 13th international conference on Database systems for advanced applications
A taxonomy of sequential pattern mining algorithms
ACM Computing Surveys (CSUR)
Focusing solutions for data mining: analytical studies and experimental results in real-world domains
Frequent subgraph mining on a single large graph using sampling techniques
Proceedings of the Eighth Workshop on Mining and Learning with Graphs
Mining top-K frequent itemsets through progressive sampling
Data Mining and Knowledge Discovery
Toward boosting distributed association rule mining by data de-clustering
Information Sciences: an International Journal
Application of particle swarm optimization to association rule mining
Applied Soft Computing
Discovering itemset interactions
ACSC '09 Proceedings of the Thirty-Second Australasian Conference on Computer Science - Volume 91
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
A new approach for generating efficient sample from market basket data
Expert Systems with Applications: An International Journal
A statistical interestingness measures for XML based association rules
PRICAI'10 Proceedings of the 11th Pacific Rim international conference on Trends in artificial intelligence
Incremental update of cyclic association rules
IDEAL'10 Proceedings of the 11th international conference on Intelligent data engineering and automated learning
An efficient preprocessing stage for the relationship-based clustering framework
Intelligent Data Analysis
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
A sampling based algorithm for finding association rules from uncertain data
AICI'10 Proceedings of the 2010 international conference on Artificial intelligence and computational intelligence: Part I
A new logic correlation rule for HIV-1 protease mutation
Expert Systems with Applications: An International Journal
Intelligent Data Analysis - Ubiquitous Knowledge Discovery
Generalized association rule mining using an efficient data structure
Expert Systems with Applications: An International Journal
Frequent pattern trend analysis in social networks
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications: Part I
Memory-efficient frequent-itemset mining
Proceedings of the 14th International Conference on Extending Database Technology
Advanced Matrix Algorithm (AMA): reducing number of scans for association rule generation
International Journal of Business Intelligence and Data Mining
Proposing a charting recommender system for second-language nurses
Expert Systems with Applications: An International Journal
Discovery of frequent patterns in transactional data streams
Transactions on large-scale data- and knowledge-centered systems II
Discovery of frequent patterns in transactional data streams
Transactions on large-scale data- and knowledge-centered systems II
Can the Utility of Anonymized Data be Used for Privacy Breaches?
ACM Transactions on Knowledge Discovery from Data (TKDD)
Locality sensitive hashing for sampling-based algorithms in association rule mining
Expert Systems with Applications: An International Journal
Efficient prime-based method for interactive mining of frequent patterns
Expert Systems with Applications: An International Journal
Static load balancing of parallel mining of frequent itemsets using reservoir sampling
MLDM'11 Proceedings of the 7th international conference on Machine learning and data mining in pattern recognition
The discovery of frequent patterns with logic and constraint programming
MAMECTIS/NOLASC/CONTROL/WAMUS'11 Proceedings of the 13th WSEAS international conference on mathematical methods, computational techniques and intelligent systems, and 10th WSEAS international conference on non-linear analysis, non-linear systems and chaos, and 7th WSEAS international conference on dynamical systems and control, and 11th WSEAS international conference on Wavelet analysis and multirate systems: recent researches in computational techniques, non-linear systems and control
CP-index: on the efficient indexing of large graphs
Proceedings of the 20th ACM international conference on Information and knowledge management
Mining interesting XML-enabled association rules with templates
KDID'04 Proceedings of the Third international conference on Knowledge Discovery in Inductive Databases
Parallel mining of maximal sequential patterns using multiple samples
The Journal of Supercomputing
A scalable distributed stream mining system for highway traffic data
PKDD'06 Proceedings of the 10th European conference on Principle and Practice of Knowledge Discovery in Databases
Itemset support queries using frequent itemsets and their condensed representations
DS'06 Proceedings of the 9th international conference on Discovery Science
The research of sampling for mining frequent itemsets
RSKT'06 Proceedings of the First international conference on Rough Sets and Knowledge Technology
An incremental algorithm for mining generators representation
PKDD'05 Proceedings of the 9th European conference on Principles and Practice of Knowledge Discovery in Databases
A new method for mining association rules from a collection of XML documents
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part II
Computing frequent itemsets in parallel using partial support trees
PVM/MPI'05 Proceedings of the 12th European PVM/MPI users' group conference on Recent Advances in Parallel Virtual Machine and Message Passing Interface
On exploring the power-law relationship in the itemset support distribution
EDBT'06 Proceedings of the 10th international conference on Advances in Database Technology
A simple, yet effective and efficient, sliding window sampling algorithm
DASFAA'10 Proceedings of the 15th international conference on Database Systems for Advanced Applications - Volume Part I
A decremental algorithm for maintaining frequent itemsets in dynamic databases
DaWaK'05 Proceedings of the 7th international conference on Data Warehousing and Knowledge Discovery
Weighted k-means for density-biased clustering
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
Sampling ensembles for frequent patterns
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
Bitmap index-based decision trees
ISMIS'05 Proceedings of the 15th international conference on Foundations of Intelligent Systems
Progressive sampling for association rules based on sampling error estimation
PAKDD'05 Proceedings of the 9th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
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
Efficient remining of generalized association rules under multiple minimum support refinement
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
A survey on condensed representations for frequent sets
Proceedings of the 2004 European conference on Constraint-Based Mining and Inductive Databases
Effective sampling for mining association rules
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
A dynamic layout of sliding window for frequent itemset mining over data streams
Journal of Systems and Software
Discovering fuzzy association rules with interest and conviction measures
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part IV
Private itemset support counting
ICICS'05 Proceedings of the 7th international conference on Information and Communications Security
On approximation algorithms for data mining applications
Efficient Approximation and Online Algorithms
A false negative approach to mining frequent itemsets from high speed transactional data streams
Information Sciences: an International Journal
Finding all minimal infrequent multi-dimensional intervals
LATIN'06 Proceedings of the 7th Latin American conference on Theoretical Informatics
Mining databases and data streams with query languages and rules
KDID'05 Proceedings of the 4th international conference on Knowledge Discovery in Inductive Databases
Memory-aware frequent k-itemset mining
KDID'05 Proceedings of the 4th international conference on Knowledge Discovery in Inductive Databases
Transaction databases, frequent itemsets, and their condensed representations
KDID'05 Proceedings of the 4th international conference on Knowledge Discovery in Inductive Databases
Extracting semantically similar frequent patterns using ontologies
SEMCCO'11 Proceedings of the Second international conference on Swarm, Evolutionary, and Memetic Computing - Volume Part II
A randomized algorithm for finding frequent elements in streams using o(loglogn) space
ISAAC'11 Proceedings of the 22nd international conference on Algorithms and Computation
SQL-like language for database mining
ADBIS'97 Proceedings of the First East-European conference on Advances in Databases and Information systems
Applying cluster-based fuzzy association rules mining framework into EC environment
Applied Soft Computing
A heuristic for mining association rules in polynomial time
Mathematical and Computer Modelling: An International Journal
Trie: An alternative data structure for data mining algorithms
Mathematical and Computer Modelling: An International Journal
Stratified k-means clustering over a deep web data source
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
A universal toolkit for cryptographically secure privacy-preserving data mining
PAISI'12 Proceedings of the 2012 Pacific Asia conference on Intelligence and Security Informatics
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
Proceedings of the CUBE International Information Technology Conference
PARMA: a parallel randomized algorithm for approximate association rules mining in MapReduce
Proceedings of the 21st ACM international conference on Information and knowledge management
Information Sciences: an International Journal
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
Research on Key Technology in Remote Education System of Spirit Diagnosing by Eye in TCM
International Journal of Distance Education Technologies
A new parallel association rule mining algorithm on distributed shared memory system
International Journal of Business Intelligence and Data Mining
Towards realistic sampling: generating dependencies in a relational database
Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication
Association discovery from relational data via granular computing
Information Sciences: an International Journal
Scalable identification and measurement of heavy-hitters
Computer Communications
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data
Discovering and managing quantitative association rules
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
CrowdMiner: mining association rules from the crowd
Proceedings of the VLDB Endowment
A tensor-based distributed discovery of missing association rules on the cloud
Future Generation Computer Systems
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