TRCM: A methodology for temporal analysis of evolving concepts in Twitter

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7895 LNAI, Issue PART 2, 2013, Pages 135-145

  Adedoyin Olowe, Mariam ^a   Gaber, Mohamed Medhat ^a   Stahl, Frederic ^b  

^a UNIVERSITY OF PORTSMOUTH   (United Kingdom)

^b UNIVERSITY OF READING   (United Kingdom)

Author keywords

Association Rule Mining; Association Rules; Dead Rules; Emerging Rules; Hashtags; New Rules; Rule Matching; Twitter; Unexpected Rules

Indexed keywords

DEAD RULES; EMERGING RULES; HASHTAGS; NEW RULES; RULE MATCHING; TWITTER; UNEXPECTED RULES;

ARTIFICIAL INTELLIGENCE; ASSOCIATION RULES; DYNAMICS; INFORMATION DISSEMINATION; SOFT COMPUTING; WORLD WIDE WEB;

SOCIAL NETWORKING (ONLINE);

EID: 84884404679     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-38610-7_13     Document Type: Conference Paper

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