From data mining to knowledge discovery: an overview
Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
Fast discovery of association rules
Advances in knowledge discovery and data mining
Pruning and summarizing the discovered associations
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
KDD-Cup 2000 organizers' report: peeling the onion
ACM SIGKDD Explorations Newsletter - Special issue on “Scalable data mining algorithms”
An Information Theoretic Approach to Rule Induction from Databases
IEEE Transactions on Knowledge and Data Engineering
What Makes Patterns Interesting in Knowledge Discovery Systems
IEEE Transactions on Knowledge and Data Engineering
Finding Interesting Patterns Using User Expectations
IEEE Transactions on Knowledge and Data Engineering
Discovery of Surprising Exception Rules Based on Intensity of Implication
PKDD '98 Proceedings of the Second European Symposium on Principles of Data Mining and Knowledge Discovery
Support Vector Machines for Knowledge Discovery
PKDD '99 Proceedings of the Third European Conference on Principles of Data Mining and Knowledge Discovery
Unified Algorithm for Undirected Discovery of Execption Rules
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
Fast Discovery of Interesting Rules
PADKK '00 Proceedings of the 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Current Issues and New Applications
Evaluating Hypothesis-Driven Exception-Rule Discovery with Medical Data Sets
PADKK '00 Proceedings of the 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Current Issues and New Applications
Exception Rule Mining with a Relative Interestingness Measure
PADKK '00 Proceedings of the 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Current Issues and New Applications
Scheduled Discovery of Exception Rules
DS '99 Proceedings of the Second International Conference on Discovery Science
Issues in Organizing a Successful Knowledge Discovery Contest
DS '00 Proceedings of the Third International Conference on Discovery Science
Mining unexpected multidimensional rules
Proceedings of the ACM tenth international workshop on Data warehousing and OLAP
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This paper reports our progress on interesting pattern discovery in the discovery science project. We first introduce undirected discovery of exception rules, in which a pattern represents a pair of an exception rule and its corresponding strong rule. Then, we explain scheduled discovery, exception rule discovery guided by a meta-pattern, and data mining contests as our contribution to the project. These can be classified as pattern search, pattern representation, and scheme justification from the viewpoint of research topics in interesting pattern discovery.