Data Mining and Knowledge Discovery via Logic-Based Methods
Language: English
Published by Springer US, 2012
Series: Book 31 of 176 - Springer Optimization and Its Applications
- Softcover
- 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. Using a novel method, the monograph studies a series of interconnected key data mining and knowledge discovery problemsProvides a unique perspective into the essence of some fundamental Data Mining issues, many of which come from important real li.
Seller Inventory # 4197608
- Title
- Data Mining and Knowledge Discovery via Logic-Based Methods
- Author
- Evangelos Triantaphyllou
- Publisher
- Springer US
- Publication year
- 2012
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1461426138
- ISBN 13
- 9781461426134
- Series
- Book 31 of 176: Springer Optimization and Its Applications
"Synopsis" may belong to another edition of this title.
From the Back Cover
The importance of having efficient and effective methods for data mining and knowledge discovery (DM) is rapidly growing. This is due to the wide use of fast and affordable computing power and data storage media and also the gathering of huge amounts of data in almost all aspects of human activity and interest. While numerous methods have been developed, the focus of this book presents algorithms and applications using one popular method that has been formulated in terms of binary attributes, i.e., by Boolean functions defined on several attributes that are easily transformed into rules that can express new knowledge.
This book presents methods that deal with key data mining and knowledge discovery issues in an intuitive manner, in a natural sequence, and in a way that can be easily understood and interpreted by a wide array of experts and end users. The presentation provides a unique perspective into the essence of some fundamental DM issues, many of which come from important real life applications such as breast cancer diagnosis.
Applications and algorithms are accompanied by extensive experimental results and are presented in a way such that anyone with a minimum background in mathematics and computer science can benefit from the exposition. Rigor in mathematics and algorithmic development is not compromised and each chapter systematically offers some possible extensions for future research.
"About the title" may belong to another edition of this title.
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