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» Discovering Case Knowledge Using Data Mining
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EAAI
2007
99views more  EAAI 2007»
13 years 10 months ago
Data mining for agent reasoning: A synergy for training intelligent agents
The task-oriented nature of data mining (DM) has already been dealt successfully with the employment of intelligent agent systems that distribute tasks, collaborate and synchroniz...
Andreas L. Symeonidis, Kyriakos C. Chatzidimitriou...
IS
2007
13 years 10 months ago
Business process mining: An industrial application
Contemporary information systems (e.g., WfM, ERP, CRM, SCM, and B2B systems) record business events in so-called event logs. Business process mining takes these logs to discover p...
Wil M. P. van der Aalst, Hajo A. Reijers, A. J. M....
FIMI
2003
146views Data Mining» more  FIMI 2003»
13 years 11 months ago
Mining Frequent Itemsets using Patricia Tries
We present a depth-first algorithm, PatriciaMine, that discovers all frequent itemsets in a dataset, for a given support threshold. The algorithm is main-memory based and employs...
Andrea Pietracaprina, Dario Zandolin
ADBIS
1998
Springer
118views Database» more  ADBIS 1998»
14 years 2 months ago
Itemset Materializing for Fast Mining of Association Rules
Mining association rules is an important data mining problem. Association rules are usually mined repeatedly in different parts of a database. Current algorithms for mining associa...
Marek Wojciechowski, Maciej Zakrzewicz
KDD
2006
ACM
118views Data Mining» more  KDD 2006»
14 years 10 months ago
Reducing the human overhead in text categorization
Many applications in text processing require significant human effort for either labeling large document collections (when learning statistical models) or extrapolating rules from...
Arnd Christian König, Eric Brill