Applied data mining / authors, Guandong Xu, Yu Zong, Zhenglu Yang.

By:

Xu, Guandong

Contributor(s):

Material type: Text

TextPublication details: Boca Raton : Taylor & Francis, [2013]Description: xi, 272 pages : illustrations ; 25 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9781466585836 (hardback)

Subject(s):

DDC classification:

006.312 23 X.G.A

LOC classification:

QA76.9.D343 X83 2013

Online resources:

Abstract

Contents:

Pt.1. Fundamentals -- pt. 2. Advanced data mining -- pt. 3. Emerging applications.

Summary: "In past decades, data mining has witnessed substantial advances by efforts from various communities. On the other hand, new research questions and practical challenges are continuously presented due to newly emerging topics and applications within the various fields closely related to human daily life, e.g. social media and social networking. This book aims to bridge the gap between the existing research and application progresses in traditional data mining and the latest advances in newly emerging information services. It explores the extension of well-studied algorithms and approaches into these new research arenas"--

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Books	Main library A2	Computers & Information Technology ( Information systems )	006.312 X.G.A (Browse shelf(Opens below))	Available		00010368

Includes bibliographical references and index.

Pt.1. Fundamentals --
pt. 2. Advanced data mining --
pt. 3. Emerging applications.

"In past decades, data mining has witnessed substantial advances by efforts from various communities. On the other hand, new research questions and practical challenges are continuously presented due to newly emerging topics and applications within the various fields closely related to human daily life, e.g. social media and social networking. This book aims to bridge the gap between the existing research and application progresses in traditional data mining and the latest advances in newly emerging information services. It explores the extension of well-studied algorithms and approaches into these new research arenas"--

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