Knowledge Discovery for Business Information Systems
Language: English
Published by Springer Nature B.V., 2013
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Condition: New
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Seller Inventory # 9781475774757
- Title
- Knowledge Discovery for Business Information Systems
- Author
- Jozef M Zurada
- Publisher
- Springer Nature B.V.
- Publication year
- 2013
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 1475774753
- ISBN 13
- 9781475774757
- Item weight
- 680 grams
- Dimensions
- 235x155x25 mm
Knowledge discovery (KDD) and Data Mining (DM) is a new, multidisciplinary field that focuses on the overall process of information discovery from large volumes of data. The field combines database concepts and theory, machine learning, pattern recognition, statistics, artificial intelligence, uncertainty management, and high-performance computing.
To remain competitive, businesses must apply data mining techniques such as classification, prediction, and clustering using tools such as neural networks, fuzzy logic, and decision trees to facilitate making strategic decisions on a daily basis.
Knowledge Discovery for Business Information Systems contains a collection of 16 high quality articles written by experts in the KDD and DM field from the following countries: Austria, Australia, Bulgaria, Canada, China (Hong Kong), Estonia, Denmark, Germany, Italy, Poland, Singapore and USA.
"Synopsis" may belong to another edition of this title.
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