TBAR: An efficient method for association rule mining in relational databases

SETM*-MaxK: An Efficient SET-Based Approach to Find the Largest Itemset

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

Weighted Association Rule Mining using weighted support and significance framework

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

ART: A Hybrid Classification Model

Machine Learning

An efficient cluster and decomposition algorithm for mining association rules

Information Sciences—Informatics and Computer Science: An International Journal

Algorithms for mining association rules in bag databases

Information Sciences—Informatics and Computer Science: An International Journal

Mining product maps for new product development

Expert Systems with Applications: An International Journal

Using customer knowledge in designing electronic catalog

Expert Systems with Applications: An International Journal

Incremental development of CBR strategies for computing project cost probabilities

Advanced Engineering Informatics

Isolated items discarding strategy for discovering high utility itemsets

Data & Knowledge Engineering

Mining customer knowledge for product line and brand extension in retailing

Expert Systems with Applications: An International Journal

An efficient algorithm for mining closed inter-transaction itemsets

Data & Knowledge Engineering

Mining marketing maps for business alliances

Expert Systems with Applications: An International Journal

FIUT: A new method for mining frequent itemsets

Information Sciences: an International Journal

An algorithm to mine general association rules from tabular data

Information Sciences: an International Journal

CBAR: an efficient method for mining association rules

Knowledge-Based Systems

An algorithm to mine general association rules from tabular data

IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning

Two-phase algorithms for a novel utility-frequent mining model

PAKDD'07 Proceedings of the 2007 international conference on Emerging technologies in knowledge discovery and data mining

Relationship between muscle activities and different movement patterns on an unstable platform using data mining

WSEAS Transactions on Information Science and Applications

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

Information Sciences: an International Journal

Mining customer knowledge to implement online shopping and home delivery for hypermarkets

Expert Systems with Applications: An International Journal

Analysis on muscle activities of different movement patterns on an unstable platform using association rule mining

MMACTEE'09 Proceedings of the 11th WSEAS international conference on Mathematical methods and computational techniques in electrical engineering

Effective utility mining with the measure of average utility

Expert Systems with Applications: An International Journal

A new mining approach for uncertain databases using CUFP trees

Expert Systems with Applications: An International Journal

A fast algorithm for mining share-frequent itemsets

APWeb'05 Proceedings of the 7th Asia-Pacific web conference on Web Technologies Research and Development

A matrix algorithm for mining association rules

ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I

An incremental mining algorithm for high utility itemsets

Expert Systems with Applications: An International Journal

Enhancing short text retrieval in databases

FQAS'06 Proceedings of the 7th international conference on Flexible Query Answering Systems

PISA: A framework for multiagent classification using argumentation

Data & Knowledge Engineering

Integration of multiple fuzzy FP-trees

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

Incrementally mining high utility patterns based on pre-large concept

Applied Intelligence