A database perspective on knowledge discovery
Communications of the ACM
Pruning and summarizing the discovered associations
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
MSQL: A Query Language for Database Mining
Data Mining and Knowledge Discovery
Integrated Modeling Environments in Organizations: An Empirical Study
Information Systems Research
Querying multiple sets of discovered rules
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Rule interestingness analysis using OLAP operations
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
On exploiting the power of time in data mining
ACM SIGKDD Explorations Newsletter
A unified framework for heterogeneous patterns
Information Systems
SAVEUS: SAving Victims in Earthquakes through Unified Systems
International Journal of Communication Networks and Distributed Systems
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Data analysts and naive users alike in information-intensive organizations need automated ways to build, analyze, and maintain very large collections of data mining models.