Rare Association Rule Mining and Knowledge Discovery: Technologies for Infrequent and Critical Event Detection
Language: English
Published by Information Science Reference, 2010
- Hardcover
- New
Seller: moluna, Greven, Germanymoluna
AbeBooks seller since July 9, 2020
Condition: New
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Add to basketItem description from seller
Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The growing complexity and volume of modern databases make it important for researchers and practitioners involved with association rule mining to make sense of the information they contain. This book provides readers with a compendium of issues, trends, an.
Seller Inventory # 4237481
- Title
- Rare Association Rule Mining and Knowledge Discovery: Technologies for Infrequent and Critical Event Detection
- Author
- Koh, Yun Sing; Rountree, Nathan
- Publisher
- Information Science Reference
- Publication year
- 2010
- Condition
- New
- Binding
- Gebunden
- Language
- English
- ISBN 10
- 1605667544
- ISBN 13
- 9781605667546
"Synopsis" may belong to another edition of this title.
About the Author
Nathan Rountree is a lecturer in computer science at the University of Otago (Dunedin, New Zealand), where he teaches papers on databases, data structures and algorithms, and Web development. He holds a bachelor's degree in music, a postgraduate diploma in computer science, and a PhD in computer science, all from Otago. His research interests include computer science education, artificial neural networks, and collaborative filtering.
"About the title" may belong to another edition of this title.
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