Mining and Analyzing Social Networks
(Sprache: Englisch)
In addition to invited work from leading researchers, this book includes extended papers from MSNDS2009, the International Workshop on Mining Social Networks for Decision Support. Further material comes from the SNMABA2009 conference on business applications.
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In addition to invited work from leading researchers, this book includes extended papers from MSNDS2009, the International Workshop on Mining Social Networks for Decision Support. Further material comes from the SNMABA2009 conference on business applications.
Klappentext zu „Mining and Analyzing Social Networks “
This book will focus upon Mining and Analyzing social network. Some chapters in this book are extended from the papers that pre-sented in MSNDS2009 (the First International Workshop on Mining Social Networks for Decision Support) and SNMABA2009 ((The International Workshop on Social Networks Mining and Analysis for Business Applications)). In addition, we also sent invitations to researchers that are famous in this research area to contribute for this book. TOC:Graph Model for Pattern Recognition in Text.-Information Retrieval in Wikis using an Ontology.- Ego-centric Network Sampling in Viral Marketing Applications.- Integrating SNA and DM Technology into HR Practice and Research: Layoff Prediction Model.- Actor Identification in Implicit Relational Data Sources.- Perception of Online Social Networks.- Ranking Learning Entities on theWeb by Integrat-ing Network-based Features.- Discovering Proximal Social Intelligence for Quality Decision Support.- Discovering User Interests by Document Classifi-cation.- Network Analysis of Opto-electronics Industry Cluster: A Case of Taiwan
Inhaltsverzeichnis zu „Mining and Analyzing Social Networks “
Graph Model for Pattern Recognition in Text.- Retrieving Wiki Content Using an Ontology.- Ego-Centric Network Sampling in Viral Marketing Applications.- Integrating SNA and DM Technology into HR Practice and Research: Layoff Prediction Model.- Actor Identification in Implicit Relational Data Sources.- Perception of Online Social Networks.- Ranking Learning Entities on the Web by Integrating Network-Based Features.- Discovering Proximal Social Intelligence for Quality Decision Support.- Discovering User Interests by Document Classification.- Network Analysis of Opto-Electronics Industry Cluster: A Case of Taiwan.
Bibliographische Angaben
- 2010, 2010, 200 Seiten, mit farbigen Abbildungen, Masse: 16 x 24,1 cm, Gebunden, Englisch
- Herausgegeben:Ting, I-Hsien; Wu, Hui-Ju; Ho, Tien-Hwa
- Herausgegeben: I-Hsien Ting, Tien-Hwa Ho, Hui-Ju Wu
- Verlag: Springer
- ISBN-10: 3642134211
- ISBN-13: 9783642134210
- Erscheinungsdatum: 29.05.2010
Sprache:
Englisch
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