DocumentCode :
3128625
Title :
Design and implementation of SNODSOC: Novel class detection for social network analysis
Author :
Abrol, Sat Yen ; Khan, Latifur ; Khadilkar, Vaibhav ; Thuraisingham, Bhavani ; Cadenhead, Tyrone
Author_Institution :
Dept. of Comput. Sci., Univ. of Texas at Dallas, Richardson, TX, USA
fYear :
2012
fDate :
11-14 June 2012
Firstpage :
215
Lastpage :
220
Abstract :
This paper describes a framework, SNODSOC (Stream based novel class detection for social network analysis), that detects evolving patterns and trends in social microblogs. SNODSOC extends our powerful data mining system, SNOD (Stream-based Novel Class Detection) for now detecting novel patterns and trends within microblogs.
Keywords :
data mining; pattern classification; social networking (online); SNODSOC design; SNODSOC implementation; data mining system; pattern detection; social microblogs; stream-based novel class detection for social network analysis; trend detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligence and Security Informatics (ISI), 2012 IEEE International Conference on
Conference_Location :
Arlington, VA
Print_ISBN :
978-1-4673-2105-1
Type :
conf
DOI :
10.1109/ISI.2012.6284312
Filename :
6284312
Link To Document :
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