Data Mining for Social Network Data
Springer-Verlag New York Inc.
978-1-4419-6286-7 (ISBN)
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.
Social Network Data Mining: Research Questions, Techniques, and Applications.- Automatic Expansion of a Social Network Using Sentiment Analysis.- Automatic Mapping of Social Networks of Actors from Text Corpora: Time Series Analysis.- A Social Network-Based Recommender System (SNRS).- Network Analysis of US Air Transportation Network.- Identifying High-Status Nodes in Knowledge Networks.- Modularity for Bipartite Networks.- ONDOCS: Ordering Nodes to Detect Overlapping Community Structure.- Framework for Fast Identification of Community Structures in Large-Scale Social Networks.- Geographically Organized Small Communities and the Hardness of Clustering Social Networks.- Integrating Genetic Algorithms and Fuzzy Logic for Web Structure Optimization.
Reihe/Serie | Annals of Information Systems ; 12 |
---|---|
Zusatzinfo | 68 Illustrations, black and white; X, 216 p. 68 illus. |
Verlagsort | New York, NY |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Informatik ► Office Programme ► Outlook |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik | |
Sozialwissenschaften | |
Wirtschaft ► Allgemeines / Lexika | |
ISBN-10 | 1-4419-6286-7 / 1441962867 |
ISBN-13 | 978-1-4419-6286-7 / 9781441962867 |
Zustand | Neuware |
Haben Sie eine Frage zum Produkt? |
aus dem Bereich