Principles of Data Mining - Rilegato

Hand, David J.; Mannila, Heikki; Smyth, Padhraic

 
9780262082907: Principles of Data Mining
Rilegato
ISBN 10: 026208290X ISBN 13: 9780262082907
Casa editrice: Bradford Books, 2001

Sinossi

The first truly interdisciplinary text on data mining, blending the contributions of information science, computer science, and statistics.

The growing interest in data mining is motivated by a common problem across disciplines: how does one store, access, model, and ultimately describe and understand very large data sets? Historically, different aspects of data mining have been addressed independently by different disciplines. This is the first truly interdisciplinary text on data mining, blending the contributions of information science, computer science, and statistics.

The book consists of three sections. The first, foundations, provides a tutorial overview of the principles underlying data mining algorithms and their application. The presentation emphasizes intuition rather than rigor. The second section, data mining algorithms, shows how algorithms are constructed to solve specific problems in a principled manner. The algorithms covered include trees and rules for classification and regression, association rules, belief networks, classical statistical models, nonlinear models such as neural networks, and local "memory-based" models. The third section shows how all of the preceding analysis fits together when applied to real-world data mining problems. Topics include the role of metadata, how to handle missing data, and data preprocessing.

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Informazioni sull?autore

David Hand is Professor of Statistics, Department of Mathematics, Imperial College, London.

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Editore
Bradford Books
Data di pubblicazione
2001
Lingua
Inglese
ISBN 10 
026208290X
ISBN 13 
9780262082907
Rilegatura
Copertina rigida
Numero di pagine
578
Contatto del produttore
non disponibile
Persona responsabile
Easy Access System Europe Oü, 16879222
gpsr.requests@easproject.com

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Tallinn
10621
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