Generating non-redundant association rules

Identifying non-actionable association rules

Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining

Infominer: mining surprising periodic patterns

Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining

Real world performance of association rule algorithms

Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining

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

Set-based model: a new approach for information retrieval

SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval

Using conjunction of attribute values for classification

Proceedings of the eleventh international conference on Information and knowledge management

Bottom-Up Association Rule Mining in Relational Databases

Journal of Intelligent Information Systems - Special issue on data warehousing and knowledge discovery

Analyzing the Subjective Interestingness of Association Rules

IEEE Intelligent Systems

Alternative Interest Measures for Mining Associations in Databases

IEEE Transactions on Knowledge and Data Engineering

Finding Association Rules That Trade Support Optimally against Confidence

PKDD '01 Proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery

Using Condensed Representations for Interactive Association Rule Mining

PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery

Further Pruning for Efficient Association Rule Discovery

AI '01 Proceedings of the 14th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence

On the Equivalence of Top-Down and Bottom-Up Data Mining in Relational Databases

DaWaK '01 Proceedings of the Third International Conference on Data Warehousing and Knowledge Discovery

The Closed Keys Base of Frequent Itemsets

DaWaK 2000 Proceedings of the 4th International Conference on Data Warehousing and Knowledge Discovery

Concise Representation of Frequent Patterns Based on Generalized Disjunction-Free Generators

PAKDD '02 Proceedings of the 6th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining

Enhancing the Set-Based Model Using Proximity Information

SPIRE 2002 Proceedings of the 9th International Symposium on String Processing and Information Retrieval

Incremental Transformation of Lattices: A Key to Effective Knowledge Discovery

ICGT '02 Proceedings of the First International Conference on Graph Transformation

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

Datascape Survey Using the Cascade Model

DS '02 Proceedings of the 5th International Conference on Discovery Science

Concise Representations of Association Rules

Proceedings of the ESF Exploratory Workshop on Pattern Detection and Discovery

Constraint-Based Discovery and Inductive Queries: Application to Association Rule Mining

Proceedings of the ESF Exploratory Workshop on Pattern Detection and Discovery

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

Using transposition for pattern discovery from microarray data

DMKD '03 Proceedings of the 8th ACM SIGMOD workshop on Research issues in data mining and knowledge discovery

Off to new shores: conceptual knowledge discovery and processing

International Journal of Human-Computer Studies

Itemset Trees for Targeted Association Querying

IEEE Transactions on Knowledge and Data Engineering

Direct Interesting Rule Generation

ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining

Tough constraint-based frequent closed itemsets mining

Proceedings of the 2003 ACM symposium on Applied computing

Extracting semantics from data cubes using cube transversals and closures

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

Mining unexpected rules by pushing user dynamics

Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining

Fast vertical mining using diffsets

Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining

Mining Informative Rule Set for Prediction

Journal of Intelligent Information Systems

Optimizing subset queries: a step towards SQL-based inductive databases for itemsets

Proceedings of the 2004 ACM symposium on Applied computing

On support thresholds in associative classification

Proceedings of the 2004 ACM symposium on Applied computing

Mining association rules from XML data using XQuery

ACSW Frontiers '04 Proceedings of the second workshop on Australasian information security, Data Mining and Web Intelligence, and Software Internationalisation - Volume 32

Mining Surprising Periodic Patterns

Data Mining and Knowledge Discovery

FARMER: finding interesting rule groups in microarray datasets

SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data

Efficient closed pattern mining in the presence of tough block constraints

Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining

Interestingness of frequent itemsets using Bayesian networks as background knowledge

Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining

Turning CARTwheels: an alternating algorithm for mining redescriptions

Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining

Essential classification rule sets

ACM Transactions on Database Systems (TODS)

Generating a Condensed Representation for Association Rules

Journal of Intelligent Information Systems

Efficient Algorithms for Mining Closed Itemsets and Their Lattice Structure

IEEE Transactions on Knowledge and Data Engineering

Reasoning about sets using redescription mining

Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining

Mining condensed frequent-pattern bases

Knowledge and Information Systems

Set-based vector model: An efficient approach for correlation-based ranking

ACM Transactions on Information Systems (TOIS)

GenMax: An Efficient Algorithm for Mining Maximal Frequent Itemsets

Data Mining and Knowledge Discovery

CloseMiner: Discovering Frequent Closed Itemsets Using Frequent Closed Tidsets

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

On Characterization and Discovery of Minimal Unexpected Patterns in Rule Discovery

IEEE Transactions on Knowledge and Data Engineering

Mining frequent geographic patterns with knowledge constraints

GIS '06 Proceedings of the 14th annual ACM international symposium on Advances in geographic information systems

FrUiT: IDE support for framework understanding

eclipse '06 Proceedings of the 2006 OOPSLA workshop on eclipse technology eXchange

Computing frequent itemsets in parallel using partial support trees

Journal of Systems and Software

Horn axiomatizations for sequential data

Theoretical Computer Science

Association rules mining using heavy itemsets

Data & Knowledge Engineering

Finding association rules that trade support optimally against confidence

Intelligent Data Analysis

Discovering Significant Patterns

Machine Learning

Optimization of association rule mining queries

Intelligent Data Analysis

Generating concise association rules

Proceedings of the sixteenth ACM conference on Conference on information and knowledge management

A framework for incremental generation of closed itemsets

Discrete Applied Mathematics

Redundant association rules reduction techniques

International Journal of Business Intelligence and Data Mining

Maintenance of informative ruler sets for predictions

Intelligent Data Analysis

An efficient algorithm for mining closed inter-transaction itemsets

Data & Knowledge Engineering

Closed Sets for Labeled Data

The Journal of Machine Learning Research

A survey on algorithms for mining frequent itemsets over data streams

Knowledge and Information Systems

Adequate condensed representations of patterns

Data Mining and Knowledge Discovery

Efficient mining of maximal frequent itemsets from databases on a cluster of workstations

Knowledge and Information Systems

Structure-Based Rule Selection Framework for Association Rule Mining of Traffic Accident Data

Computational Intelligence and Security

A Unified View of Objective Interestingness Measures

MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition

Moment+: Mining Closed Frequent Itemsets over Data Stream

ADMA '08 Proceedings of the 4th international conference on Advanced Data Mining and Applications

Reducing uninteresting spatial association rules in geographic databases using background knowledge: a summary of results

International Journal of Geographical Information Science

Discovering data quality rules

Proceedings of the VLDB Endowment

Maintaining frequent closed itemsets over a sliding window

Journal of Intelligent Information Systems

Scalable pattern mining with Bayesian networks as background knowledge

Data Mining and Knowledge Discovery

Improved methods for extracting frequent itemsets from interim-support trees

Software—Practice & Experience

HSM: Heterogeneous Subspace Mining in High Dimensional Data

SSDBM 2009 Proceedings of the 21st International Conference on Scientific and Statistical Database Management

Mining Multiple Level Non-redundant Association Rules through Two-Fold Pruning of Redundancies

MLDM '09 Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition

A new generic basis of "factual" and "implicative" association rules

Intelligent Data Analysis

Self-sufficient itemsets: An approach to screening potentially interesting associations between items

ACM Transactions on Knowledge Discovery from Data (TKDD)

Mining multi-class datasets using genetic relation algorithm for rule reduction

CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation

A new and useful syntactic restriction on rule semantics for tabular datasets

ICFCA'07 Proceedings of the 5th international conference on Formal concept analysis

Reducing rule covers with deterministic error bounds

PAKDD'03 Proceedings of the 7th Pacific-Asia conference on Advances in knowledge discovery and data mining

gPrune: a constraint pushing framework for graph pattern mining

PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining

Discovering association rules in incomplete transactional databases

Transactions on rough sets VI

Mining correct properties in incomplete databases

KDID'06 Proceedings of the 5th international conference on Knowledge discovery in inductive databases

On the merge of factor canonical bases

ICFCA'08 Proceedings of the 6th international conference on Formal concept analysis

Non-classical logic in an intelligent assessment sub-system

ICCSA'07 Proceedings of the 2007 international conference on Computational science and its applications - Volume Part I

Mining non-redundant information-theoretic dependencies between itemsets

DaWaK'10 Proceedings of the 12th international conference on Data warehousing and knowledge discovery

Mining closed itemsets in data stream using formal concept analysis

DaWaK'10 Proceedings of the 12th international conference on Data warehousing and knowledge discovery

Incremental construction of alpha lattices and association rules

KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part II

Using ontologies to facilitate post-processing of association rules by domain experts

Information Sciences: an International Journal

Mining minimal non-redundant association rules using frequent itemsets lattice

International Journal of Intelligent Systems Technologies and Applications

EWgen: automatic generation of item weights for weighted association rule mining

ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications: Part I

Cube based summaries of large association rule sets

ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications: Part I

Reliable representations for association rules

Data & Knowledge Engineering

The agree concept lattice for multidimensional database analysis

ICFCA'11 Proceedings of the 9th international conference on Formal concept analysis

Discovering search engine related queries using association rules

Journal of Web Engineering

From market baskets to mole rats: using data mining techniques to analyze RFID data describing laboratory animal behavior

Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining

Efficient reduction of the number of associations rules using fuzzy clustering on the data

ICSI'11 Proceedings of the Second international conference on Advances in swarm intelligence - Volume Part II

Extracting compact and information lossless sets of fuzzy association rules

Fuzzy Sets and Systems

Condensed representation of EPs and patterns quantified by frequency-based measures

KDID'04 Proceedings of the Third international conference on Knowledge Discovery in Inductive Databases

Summarizing frequent patterns using profiles

DASFAA'06 Proceedings of the 11th international conference on Database Systems for Advanced Applications

Mining maximal correlated member clusters in high dimensional database

PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining

Redundant association rules reduction techniques

AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence

Optimized rule mining through a unified framework for interestingness measures

DaWaK'06 Proceedings of the 8th international conference on Data Warehousing and Knowledge Discovery

EGEA: a new hybrid approach towards extracting reduced generic association rule set (application to AML blood cancer therapy)

DaWaK'06 Proceedings of the 8th international conference on Data Warehousing and Knowledge Discovery

Application of association rules for finding correlations among students preliminary knowledge

CDVE'06 Proceedings of the Third international conference on Cooperative Design, Visualization, and Engineering

On horn axiomatizations for sequential data

ICDT'05 Proceedings of the 10th international conference on Database Theory

Efficient mining of association rules based on formal concept analysis

Formal Concept Analysis

Incremental classification rules based on association rules using formal concept analysis

MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition

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

The hows, whys, and whens of constraints in itemset and rule discovery

Proceedings of the 2004 European conference on Constraint-Based Mining and Inductive Databases

A survey on condensed representations for frequent sets

Proceedings of the 2004 European conference on Constraint-Based Mining and Inductive Databases

Remarks on the industrial application of inductive database technologies

Proceedings of the 2004 European conference on Constraint-Based Mining and Inductive Databases

DBV-Miner: A Dynamic Bit-Vector approach for fast mining frequent closed itemsets

Expert Systems with Applications: An International Journal

Mining succinct systems of minimal generators of formal concepts

DASFAA'05 Proceedings of the 10th international conference on Database Systems for Advanced Applications

Mining frequent δ-free patterns in large databases

DS'05 Proceedings of the 8th international conference on Discovery Science

Alpha galois lattices: an overview

ICFCA'05 Proceedings of the Third international conference on Formal Concept Analysis

Using concept lattices to uncover causal dependencies in software

ICFCA'06 Proceedings of the 4th international conference on Formal Concept Analysis

Logical implications

ACACOS'12 Proceedings of the 11th WSEAS international conference on Applied Computer and Applied Computational Science

Lattice based associative classifier

ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part II

Mining of multiobjective non-redundant association rules in data streams

ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part II

Model mining for robust feature selection

Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining

A new approach for association rule mining and bi-clustering using formal concept analysis

MLDM'12 Proceedings of the 8th international conference on Machine Learning and Data Mining in Pattern Recognition

A pattern discovery model for effective text mining

MLDM'12 Proceedings of the 8th international conference on Machine Learning and Data Mining in Pattern Recognition

Frequent item set mining

Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery

A data imputation model in sensor databases

HPCC'07 Proceedings of the Third international conference on High Performance Computing and Communications

Weak Ratio Rules: A Generalized Boolean Association Rules

International Journal of Data Warehousing and Mining

A lattice-based approach for mining most generalization association rules

Knowledge-Based Systems

Semi-supervised learning on closed set lattices

Intelligent Data Analysis