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Lin, Tsau Young & Setsuo Ohsuga & Churn-Jung Liau & Xiaohua Hu:

Foundations and Novel Approaches in Data Mining - copertina rigida, flessible

2005, ISBN: 9783540283157

9C: Springer. New. 2005. Hardcover. 3540283153 . This book contains an in-depth analysis of the foundational issues and recently developed novel approaches in data mining research. The p… Altro …

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ISBN: 9783540283157

Data-mining has become a popular research topic in recent years for the treatment of the data rich and information poor syndrome. Currently, application oriented engineers are only concer… Altro …

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Foundations and Novel Approaches in Data Mining - nuovo libro

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Engineering; Mathematical and Computational Engineering; Artificial Intelligence (incl. Robotics) Statistica, classification, data mining, databases, fuzzy, knowledge discovery, modeling,… Altro …

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Tsau Young Lin; Setsuo Ohsuga; Churn-Jung Liau; Xiaohua Hu:
Foundations and Novel Approaches in Data Mining - copertina rigida, flessible

2005, ISBN: 9783540283157

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Tsau Young Lin; Setsuo Ohsuga; Churn-Jung Liau; Xiaohua Hu:
Foundations and Novel Approaches in Data Mining - copertina rigida, flessible

2005, ISBN: 9783540283157

2006, Hardcover, Buch, [PU: Springer Berlin]

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Dettagli del libro
Foundations and Novel Approaches in Data Mining

Data-mining has become a popular research topic in recent years for the treatment of the "data rich and information poor" syndrome. Currently, application oriented engineers are only concerned with their immediate problems, which results in an ad hoc method of problem solving. Researchers, on the other hand, lack an understanding of the practical issues of data-mining for real-world problems and often concentrate on issues that are of no significance to the practitioners. In this volume, we hope to remedy problems by (1) presenting a theoretical foundation of data-mining, and (2) providing important new directions for data-mining research. A set of well respected data mining theoreticians were invited to present their views on the fundamental science of data mining. We have also called on researchers with practical data mining experiences to present new important data-mining topics.

Informazioni dettagliate del libro - Foundations and Novel Approaches in Data Mining


EAN (ISBN-13): 9783540283157
ISBN (ISBN-10): 3540283153
Copertina rigida
Anno di pubblicazione: 2005
Editore: Springer Berlin
392 Pagine
Peso: 0,748 kg
Lingua: eng/Englisch

Libro nella banca dati dal 2007-05-30T09:00:56+02:00 (Rome)
Pagina di dettaglio ultima modifica in 2021-05-09T11:46:11+02:00 (Rome)
ISBN/EAN: 9783540283157

ISBN - Stili di scrittura alternativi:
3-540-28315-3, 978-3-540-28315-7
Stili di scrittura alternativi e concetti di ricerca simili:
Autore del libro : young, sinica, jung
Titolo del libro: approaches the study, studies computational intelligence, novel, foundations, data mining


Dati dell'editore

Autore: Tsau Young Lin; Setsuo Ohsuga; Churn-Jung Liau; Xiaohua Hu
Titolo: Studies in Computational Intelligence; Foundations and Novel Approaches in Data Mining
Editore: Springer; Springer Berlin
378 Pagine
Anno di pubblicazione: 2005-11-03
Berlin; Heidelberg; DE
Lingua: Inglese
160,49 € (DE)
164,99 € (AT)
177,00 CHF (CH)
Available
X, 378 p.

BB; Hardcover, Softcover / Technik/Allgemeines, Lexika; Mathematik für Ingenieure; Verstehen; Statistica; classification; data mining; databases; fuzzy; knowledge discovery; modeling; problem solving; Mathematical and Computational Engineering Applications; Artificial Intelligence; Künstliche Intelligenz; BC

Data-mining has become a popular research topic in recent years for the treatment of the "data rich and information poor” syndrome. Currently, application oriented engineers are only concerned with their immediate problems, which results in an ad hoc method of problem solving. Researchers, on the other hand, lack an understanding of the practical issues of data-mining for realworld problems and often concentrate on issues that are of no significance to the practitioners. In this volume, we hope to remedy problems by (1) presenting a theoretical foundation of data-mining, and (2) providing important new directions for data-mining research. A set of well respected data mining theoreticians were invited to present their views on the fundamental science of data mining. We have also called on researchers with practical data mining experiences to present new important data-mining topics.
Latest results in data mining Includes supplementary material: sn.pub/extras

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