Applied Data Mining.

Data mining has witnessed substantial advances in recent decades. New research questions and practical challenges have arisen from emerging areas 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...

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Bibliographic Details
Online Access: Full Text (via Taylor & Francis)
Main Author: Xu, Guandong
Format: Electronic eBook
Language:English
Published: CRC Press (an imprint of Taylor & Francis), 2013.
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Description
Summary:Data mining has witnessed substantial advances in recent decades. New research questions and practical challenges have arisen from emerging areas 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 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.
Physical Description:1 online resource
Bibliography:Includes bibliographical references (pages 266-269).
ISBN:1299704433
9781299704435
1466585838
9781466585836
9781466585843
1466585846
Source of Description, Etc. Note:Source of description: Print version record.