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Principles of data mining

Bramer, Max; (Springer-Verlag, 2016)
URI : http://lontar.ui.ac.id/detail?id=20510030&lokasi=lokal
 Abstract
This book explains and explores the principal techniques of Data Mining, the automatic extraction of implicit and potentially useful information from data, which is increasingly used in commercial, scientific and other application areas. It focuses on classification, association rule mining and clustering.
Each topic is clearly explained, with a focus on algorithms not mathematical formalism, and is illustrated by detailed worked examples. The book is written for readers without a strong background in mathematics or statistics and any formulae used are explained in detail.
Each chapter has practical exercises to enable readers to check their progress. A full glossary of technical terms used is included.
This expanded third edition includes detailed descriptions of algorithms for classifying streaming data, both stationary data, where the underlying model is fixed, and data that is time-dependent, where the underlying model changes from time to time - a phenomenon known as concept drift.
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 Metadata
Call Number : e20510030
Author :
Subject :
Publishing : London: Springer-Verlag, 2016
Cataloguing Source : LibUI eng rda
Language : eng
Responsibility Statement : Max Bramer
Edition : third edition
Collection Source : Springer
Content Type : text (rdacontent)
Media Type : computer (rdamedia)
Carrier Type : online resource (rdacarrier)
Physical Description : xv, 524 pages : illustration
Linkhttps://link.springer.com/book/10.1007/978-1-4471-7307-6
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Call Number Barcode Number Availability
e20510030 02-20-231484539 TERSEDIA
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No review available for this collection: 20510030