152,31 €
190,39 €
Advances in Data Mining: Applications and Theoretical Aspects
152,31 € 
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This book constitutes the refereed proceedings of the 10th Industrial Conference on Data Mining, ICDM 2010, held in Berlin, Germany in July 2010. The 48 revised full papers presented together with two invited papers were carefully reviewed and selected from 175 submissions. The papers are organized in topical sections on theoretical aspects of data mining, multimedia data mining, data mining in marketing, data mining in industrial processes, data mining in medicine, data mining in agriculture,…
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- Leidėjas: Springer-Verlag GmbH
- Metai: 2010
- ISBN-10: 3642143997
- ISBN-13: 9783642143991
- Formatas: 15.8 x 24 x 2.8 cm, minkšti viršeliai
- Kalba: Anglų
- Extra -20 % nuolaida šiai knygai su kodu ENG20
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This book constitutes the refereed proceedings of the 10th Industrial Conference on Data Mining, ICDM 2010, held in Berlin, Germany in July 2010. The 48 revised full papers presented together with two invited papers were carefully reviewed and selected from 175 submissions. The papers are organized in topical sections on theoretical aspects of data mining, multimedia data mining, data mining in marketing, data mining in industrial processes, data mining in medicine, data mining in agriculture, Webmining, data mining in finance, aspects of data mining, and data mining for network performance monitoring.EXTRA 20 % nuolaida
152,31 €
190,39 €
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- Leidėjas: Springer-Verlag GmbH
- Metai: 2010
- ISBN-10: 3642143997
- ISBN-13: 9783642143991
- Formatas: 15.8 x 24 x 2.8 cm, minkšti viršeliai
- Kalba: Anglų
This book constitutes the refereed proceedings of the 10th Industrial Conference on Data Mining, ICDM 2010, held in Berlin, Germany in July 2010. The 48 revised full papers presented together with two invited papers were carefully reviewed and selected from 175 submissions. The papers are organized in topical sections on theoretical aspects of data mining, multimedia data mining, data mining in marketing, data mining in industrial processes, data mining in medicine, data mining in agriculture, Webmining, data mining in finance, aspects of data mining, and data mining for network performance monitoring.
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