What's interesting about Cricket?: on thresholds and anticipation in discovered rules
ACM SIGKDD Explorations Newsletter
Applying Objective Interestingness Measures in Data Mining Systems
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
Interesting Fuzzy Association Rules in Quantitative Databases
PKDD '01 Proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery
Data Mining with Calendar Attributes
TSDM '00 Proceedings of the First International Workshop on Temporal, Spatial, and Spatio-Temporal Data Mining-Revised Papers
Evaluation of Interestingness Measures for Ranking Discovered Knowledge
PAKDD '01 Proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining
Experiences in building a tool for navigating association rule result sets
ACSW Frontiers '04 Proceedings of the second workshop on Australasian information security, Data Mining and Web Intelligence, and Software Internationalisation - Volume 32
Detecting privacy and ethical sensitivity in data mining results
ACSC '04 Proceedings of the 27th Australasian conference on Computer science - Volume 26
On Mining Summaries by Objective Measures of Interestingness
Machine Learning
ACM Computing Surveys (CSUR)
Event sequence mining to develop profiles for computer forensic investigation purposes
ACSW Frontiers '06 Proceedings of the 2006 Australasian workshops on Grid computing and e-research - Volume 54
Measuring the interestingness of discovered knowledge: A principled approach
Intelligent Data Analysis
GAM: a guidance enabled association mining environment
International Journal of Business Intelligence and Data Mining
Technology extraction from time series data reflecting expert operator skills and knowledge
International Journal of Computer Applications in Technology
Technology Extraction of Expert Operator Skills from Process Time Series Data
Learning Classifier Systems
A novel manufacturing defect detection method using association rule mining techniques
Expert Systems with Applications: An International Journal
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