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Behavior Engineering and Applications 2018 ed. [Hardback]

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  • Formāts: Hardback, 240 pages, height x width: 235x155 mm, weight: 541 g, 87 Illustrations, color; 21 Illustrations, black and white; VIII, 240 p. 108 illus., 87 illus. in color., 1 Hardback
  • Sērija : International Series on Computer, Entertainment and Media Technology
  • Izdošanas datums: 24-Jul-2018
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3319764292
  • ISBN-13: 9783319764290
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Behavior Engineering and Applications 2018 ed.Palielināt
  • Formāts: Hardback, 240 pages, height x width: 235x155 mm, weight: 541 g, 87 Illustrations, color; 21 Illustrations, black and white; VIII, 240 p. 108 illus., 87 illus. in color., 1 Hardback
  • Sērija : International Series on Computer, Entertainment and Media Technology
  • Izdošanas datums: 24-Jul-2018
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3319764292
  • ISBN-13: 9783319764290
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783319764290.html
Many industrial applications built today are increasingly using emerging behavior engineering technologies: this book looks at various research and practical issues  for researchers and students working in computer science and engineering, and for industry technology providers interested in behavior engineering and applications. Behavior Engineering and Applications encompasses intelligent and efficient computational solutions, including models, architectures, algorithms and specific applications, focused on processing, discovering, understanding and analyzing the behavior captured by the above data. Focusing on applying any engineering paradigm to systemically process, discover, understand and analyze these data, this book also addresses problems in a variety of areas and applications that related to behavior engineering.

This book includes chapters derived from selected papers from The 2016 International Conference on Behavior Engineering (ICBE), as well as separate contributions the editors selected cutting-edge research related to behavior engineering.

1 Benchmarking Swarm Rebalancing Algorithm for Relieving Imbalanced
Machine Learning Problems.- 2 Performance Evaluation of Shadow Features as a
Data Preprocessing Method in Data Mining for Human Activities Recognitions.-
3 Fast Plagiarism Detection Using Approximate String Matching and Vector
Representation of Words.- 4 A Psychologically-realistic Personality Model for
Virtual Agents.- 5 Investigating Path to Purchase for Online Impulse Buying:
A Decision Net Approach.- 6 eHealth Consumer Behavior.- 7 Guiding usability
newcomers to understand the Context of Use: towards models of Collaborative
Heuristic Evaluation.- 8 Forecasting China Future MNP by Deep Learning.- 9
Gender differences in affective response toward pictorials: Affective warning
pictorials on cigarette label.- 10 A Web-based System with Spatial Clustering
to Observe the Changes of Emergency Distribution using Social Big Data.