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Mining and Analyzing Social Networks / edited by I-Hsien Ting, Hui-Ju Wu, Tien-Hwa Ho.

Por: Colaborador(es): Tipo de material: TextoTextoSeries Studies in Computational Intelligence ; 288Editor: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010Descripción: 200 páginas 39 ilustraciones en color. recurso en líneaTipo de contenido:
  • texto
Tipo de medio:
  • computadora
Tipo de portador:
  • recurso en línea
ISBN:
  • 9783642134227
Formatos físicos adicionales: Edición impresa:: Sin títuloClasificación LoC:
  • Q342
Recursos en línea:
Contenidos:
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.
Resumen: 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.
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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.

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.

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