東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Behavior engineering and applications

Wong, Raymond.

FindBook

Google Book

Amazon

博客來

Behavior engineering and applications

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Behavior engineering and applications/ edited by Raymond Wong, Chi-Hung Chi, Patrick C. K. Hung.
其他作者:	Wong, Raymond.
出版者:	Cham :Springer International Publishing : : 2018.,
面頁冊數:	viii, 240 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer eBooks
標題:	Engineering. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-76430-6
ISBN:	9783319764306

Behavior engineering and applications
Behavior engineering and applications[electronic resource] /edited by Raymond Wong, Chi-Hung Chi, Patrick C. K. Hung. - Cham :Springer International Publishing :2018. - viii, 240 p. :ill., digital ;24 cm. - International series on computer entertainment and media technology,2364-947X. - International series on computer entertainment and media technology..

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.

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.

ISBN: 9783319764306

Standard No.: 10.1007/978-3-319-76430-6doiSubjects--Topical Terms:

586835
Engineering.

LC Class. No.: TA7

Dewey Class. No.: 620

Behavior engineering and applications
LDR:03017nmm a2200325 a 4500 001 2152174
003 DE-He213
005 20180710131300.0
006 m d
007 cr nn 008maaau
008 190403s2018 gw s 0 eng d
020 $a 9783319764306 $q (electronic bk.)
020 $a 9783319764290 $q (paper)
024 7 $a 10.1007/978-3-319-76430-6 $2 doi
035 $a 978-3-319-76430-6
040 $a GP $c GP
041 0 $a eng
050 4 $a TA7
072 7 $a KJQ $2 bicssc
072 7 $a BUS070030 $2 bisacsh
082 0 4 $a 620 $2 23
090 $a TA7 $b .B419 2018
245 0 0 $a Behavior engineering and applications $h [electronic resource] / $c edited by Raymond Wong, Chi-Hung Chi, Patrick C. K. Hung.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a viii, 240 p. : $b ill., digital ; $c 24 cm.
490 1 $a International series on computer entertainment and media technology, $x 2364-947X
505 0 $a 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.
520 $a 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.
650 0 $a Engineering. $3 586835
650 1 4 $a Business and Management. $2 eflch $3 1485455
650 2 4 $a Big Data/Analytics. $3 2186785
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 890894
650 2 4 $a Mathematical and Computational Engineering. $3 3226306
650 2 4 $a Behavioral Sciences. $3 789898
650 2 4 $a Computer Appl. in Social and Behavioral Sciences. $3 892702
700 1 $a Wong, Raymond. $3 3338221
700 1 $a Chi, Chi-Hung. $3 1004699
700 1 $a Hung, Patrick C. K. $3 1361737
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a International series on computer entertainment and media technology. $3 2160101
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-76430-6
950 $a Computer Science (Springer-11645)