Data Mining for Social Network Data - Couverture souple

Couverture souple

ISBN 10 : 1441962867 ISBN 13 : 9781441962867

Editeur : Springer, 2010

Synopsis

Driven by counter-terrorism efforts, marketing analysis and an explosion in online social networking in recent years, data mining has moved to the forefront of information science. This proposed Special Issue on Data Mining for Social Network Data will present a broad range of recent studies in social networking analysis. It will focus on emerging trends and needs in discovery and analysis of communities, solitary and social activities, activities in open for a and commercial sites as well. It will also look at network modeling, infrastructure construction, dynamic growth and evolution pattern discovery using machine learning approaches and multi-agent based simulations. Editors are three rising stars in world of data mining, knowledge discovery, social network analysis, and information infrastructures, and are anchored by Springer author/editor Hsinchun Chen (Terrorism Informatics; Medical Informatics; Digital Government), who is one of the most prominent intelligence analysis and data mining experts in the world.

A propos du livre

Présentation de l'éditeur

Driven by counter-terrorism efforts, marketing analysis, and the explosion in on-line social networking, data mining has moved to the top of the agenda in information science. This book presents a broad range of recent studies in social networking analysis.

Détails de l'édition

• Éditeur: Springer
• Date d'édition: 2010
• Langue: anglais
• ISBN 10: 1441962867
• ISBN 13: 9781441962867
• Reliure: Broché
• Nombre de pages: 228
• Éditeur: Memon Nasrullah, Xu Jennifer Jie, Hicks David L., Chen Hsinchun
• Coordonnées du fabricant: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3,69115 Heidelberg, Germany; Heidelberg; 69115; Allemagne