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