Principles of Data Mining and Knowledge Discovery
Subtitle: Second European Symposium, PKDD'98, Nantes, France, September 23-26, 1998, Proceedings (Lecture Notes ... / Lecture Notes in Artificial Intelligence)
Contributors: Jan M. Zytkow (Editor); Mohamed Quafafou (Editor)
Edition: 1 edition
Publisher: Springer
Published: October 30, 1998
Language: eng
Format: Paperback
Number of pages: 482
ISBN-13: 9783540650683
Subjects: Artificial intelligence; Databases & data structures; Information Technology; Data mining; Knowledge acquisition (Expert systems); Database Engineering; Knowledge-Based Computing; Computers; Computers - General Information; Information Storage & Retrieval; Computer Books: General; General; Artificial Intelligence - General; Adaptation; Computers / Artificial Intelligence; Information Retrieval; Knowledge Discovery; Knowledge acquisition (Expert; Congresses; Database management
First sentence: A crucial aspect of data mining is that the discovered knowledge (usually expressed in the form of "if-then" rules) should be somehow interesting, where the term interestingness is arguably related to the properties of surprisingness (unexpectedness), usefulness and novelty of the rule [Fayyad et al. 96].