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Behavior Computing: Modeling, Analysis, Mining and Decision 2012 ed. [Mīkstie vāki]

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  • Formāts: Paperback / softback, 376 pages, height x width: 235x155 mm, weight: 599 g, XVI, 376 p., 1 Paperback / softback
  • Izdošanas datums: 08-May-2014
  • Izdevniecība: Springer London Ltd
  • ISBN-10: 1447162064
  • ISBN-13: 9781447162063
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Behavior Computing: Modeling, Analysis, Mining and Decision 2012 ed.Palielināt
  • Formāts: Paperback / softback, 376 pages, height x width: 235x155 mm, weight: 599 g, XVI, 376 p., 1 Paperback / softback
  • Izdošanas datums: 08-May-2014
  • Izdevniecība: Springer London Ltd
  • ISBN-10: 1447162064
  • ISBN-13: 9781447162063
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9781447162063.html
Keywords:
'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.

This book offers a dedicated source of reference on the theory and applications of behavior informatics and behavior computing. Includes chapters on representation and modeling behaviors; behavior ontology; behaviour analysis and more.

Recenzijas

Jair Merlo, Accenture, Sćo Paulo, Brazil

Excerpts from full review posted Oct 12 2012 to Computing Reviews [ Review #: CR140595 (1302-0087)]

...In spite of the spectrum of subjects and diversity of authors, the books editors have been extremely successful in providing coherent and integrated content...

After a thorough depiction of the theoretical state of the art in behavior modeling, chapter 4 offers a gold mine for practitioners: a semi-Markovian algorithm for user behavior analysis that is very easy to grasp, even for novices, and implemented in ActiveX...

Part 4 continues to explore applications of behavior computing with a plethora of diverse cases that illustrate the importance of this novice discipline.

The book provides valuable knowledge for both academia and industry.

Preface.- Part I: Behavior Modeling.- Analyzing Behavior of the
Influentials across Social Media.- Modeling and Analysis of Social Activity
Process.- Behavior Representation and Management Making Use of the Narrative
Knowledge Representation Language.- Semi-Markovian representation of User
Behavior in Software Packages.- Part II: Behavior Analysis.- P-SERS:
Personalized Social Event Recommender System.- Simultaneously Modeling Reply
Networks and Contents to Generate Users Profiles on Web Forum.- Information
Searching Behavior Mining Based on Reinforcement Learning Models.- Estimating
Conceptual Similarities using Distributed Representations and Extended
Backpropagation.- Scoring and Predicting Risk Preferences.- An Introduction
to Prognostic Search.- Part III: Behavior Mining.- Clustering Clues of
Trajectories for Discovering Frequent Movement Behaviors.- Linking Behavioral
Patterns to Personal Attributes through Data Re-Mining.- Mining Causality
from Non-categorical Numerical Data.- A Fast Algorithm for Mining High
Utility Itemsets.- Individual Movement Behavior in Secure Physical
Environments: Modeling and Detection of Suspicious Activity.- A Behavioral
Modeling Approach to Prevent Unauthorized Large-Scale Documents Copying from
Digital Libraries.- Analyzing Twitter User Behaviors and Topic Trends by
Exploiting Dynamic Rules.- Part IV: Behavior Applications.- Behavior Analysis
of Telecom Data using Social Network Analysis.- Event Detection based on Call
Detail Records.- Smart Phone: Predicting the Next Call.- A System with Hidden
Markov Models and Guassian Mixture Models for 3D Handwriting Recognition on
Handheld Devices using Accelerometers.- Medical Students Search Behavior: An
Exploratory Survey.- An Evaluation Scheme of Software Testing Strategy.