ENGLISH

Behavior Computing: Modeling, Analysis, Mining and Decision

By Longbing Cao , Philip S. Yu (eds.) , Nitin Agarwal , Huan Liu (auth.) , Shamanth Kumar , Huiji Gao , Reza Zafarani

Book information

Publisher
Springer-Verlag London
Year
2012
ISBN
978-1-4471-2968-4, 978-1-4471-2969-1
DOI
10.1007/978-1-4471-2969-1
Language
english
Format
PDF
Filesize
7 MB (7392896 bytes)
Edition
1
Pages
376\371
Time added
2013-10-20 05:25:02
Models and Principles; Data Mining and Knowledge D

Description

'Behavior' is an increasingly important concept in the scientific, societal, economic, cultural, political, military, living and virtual worlds. Behavior computing, or behavior informatics, consists of methodologies, techniques and practical tools for examining and interpreting behaviours in these various worlds. Behavior computing contributes to the in-depth understanding, discovery, applications and management of behavior intelligence. With contributions from leading researchers in this emerging field Behavior Computing: Modeling, Analysis, Mining and Decision includes chapters on: representation and modeling behaviors; behavior ontology; behaviour analysis; behaviour pattern mining; clustering complex behaviors; classification of complex behaviors; behaviour impact analysis; social behaviour analysis; organizational behaviour analysis; and behaviour computing applications. Behavior Computing: Modeling, Analysis, Mining and Decision provides a dedicated source of reference for the theory and applications of behavior informatics and behavior computing. Researchers, research students and practitioners in behavior studies, including computer science, behavioral science, and social science communities will find this state of the art volume invaluable.

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