Web Technologies and Applications [electronic resource] : APWeb 2014 Workshops, SNA, NIS, and IoTS, Changsha, China, September 5, 2014. Proceedings / edited by Weihong Han, Zi Huang, Changjun Hu, Hongli Zhang, Li Guo.
Contributor(s): Han, Weihong [editor.] | Huang, Zi [editor.] | Hu, Changjun [editor.] | Zhang, Hongli [editor.] | Guo, Li [editor.] | SpringerLink (Online service).
Material type: BookSeries: Lecture Notes in Computer Science: 8710Publisher: Cham : Springer International Publishing : Imprint: Springer, 2014Description: XIV, 404 p. 158 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319111193.Subject(s): Computer science | Computer communication systems | Computer security | Data mining | Information storage and retrieval | Management information systems | Computer Science | Data Mining and Knowledge Discovery | Information Storage and Retrieval | Information Systems Applications (incl. Internet) | Systems and Data Security | Computer Communication Networks | Management of Computing and Information SystemsAdditional physical formats: Printed edition:: No titleDDC classification: 006.312 Online resources: Click here to access onlineFirst International Workshop on Social Network Analysis, SNA 2014 -- First International Workshop on Network and Information Security, NIS 2014 -- First International Workshop on Internet of Things Search, IoTS 2014.
This book constitutes the refereed proceedings of the workshops held at the 16th Asia-Pacific Web Conference, APWeb 2014, in Changsha, China, in September 2014. The 34 full papers were carefully reviewed and selected from 59 submissions. This volume presents the papers that have been accepted for the following workshops: First International Workshop on Social Network Analysis, SNA 2014; First International Workshop on Network and Information Security, NIS 2014; First International Workshop on Internet of Things Search, IoTS 2014. The papers cover various issues in social network analysis, security and information retrieval against the heterogeneous big data.
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