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...
Enregistré dans:
| Auteur principal: | |
|---|---|
| Autres auteurs: | , |
| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Édition: | 1st ed. 2010. |
| Collection: | Studies in Computational Intelligence
288 |
| Accès en ligne: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Mining and analyzing social networks, I-Hsien Ting, Hui-Ju Wu, Tien-Hwa Ho (eds.), Berlin, Springer-Verlag, 2010, 1 vol. (X-182 p.), Studies in computational intelligence, 978-3-642-13421-0 • Mining and Analyzing Social Networks, Texte imprimé, 9783642263491 • Mining and Analyzing Social Networks, Texte imprimé, 9783642134234 • Mining and analyzing social networks, I-Hsien Ting, Hui-Ju Wu, Tien-Hwa Ho (eds.), Berlin, Springer-Verlag, 2010, 1 vol. (X-182 p.), Studies in computational intelligence, 978-3-642-13421-0 • Mining and Analyzing Social Networks, Texte imprimé, 9783642263491 • Mining and Analyzing Social Networks, Texte imprimé, 9783642134234 |
Table des matières:
- 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.