Improving the Discovery of Association Rules with Intensity of Implication

A data mining framework for optimal product selection in retail supermarket data: the generalized PROFSET model

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

Understanding the crucial differences between classification and discovery of association rules: a position paper

ACM SIGKDD Explorations Newsletter

A User-Driven Process for Mining Association Rules

PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery

A User-driven and Quality-oriented Visualization for Mining Association Rules

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

Building an Association Rules Framework to Improve Product Assortment Decisions

Data Mining and Knowledge Discovery

Adapting the CBA algorithm by means of intensity of implication

Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Dealing with uncertainty in data mining and information extraction

Interactive visual exploration of association rules with rule-focusing methodology

Knowledge and Information Systems

I-extended databases

MMACTEE'08 Proceedings of the 10th WSEAS International Conference on Mathematical Methods and Computational Techniques in Electrical Engineering

Adapting the CBA algorithm by means of intensity of implication

Information Sciences: an International Journal

Two measures of objective novelty in association rule mining

PAKDD'09 Proceedings of the 13th Pacific-Asia international conference on Knowledge discovery and data mining: new frontiers in applied data mining

Implication strength of classification rules

ISMIS'06 Proceedings of the 16th international conference on Foundations of Intelligent Systems