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Volumn 6166 LNCS, Issue , 2010, Pages 335-342

Detecting spam bots in online social networking sites: A machine learning approach

Author keywords

[No Author keywords available]

Indexed keywords

BLOGGING; CONTENT-BASED FEATURES; DATA SETS; DETECTION SYSTEM; EVALUATION EXPERIMENTS; GRAPH-BASED; MACHINE-LEARNING; ONLINE SOCIAL NETWORKINGS; SPAMMERS; GRAPH-BASED FEATURES; MACHINE LEARNING APPROACHES; MICRO-BLOGGING SERVICES; REAL DATA SETS;

EID: 77958488685     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-13739-6_25     Document Type: Conference Paper
Times cited : (193)

References (12)
  • 1
    • 77958496800 scopus 로고    scopus 로고
    • Opera: State of the mobile web
    • Opera: State of the mobile web, http://www.opera.com/smw/2009/12/
  • 12
    • 77958514452 scopus 로고    scopus 로고
    • Inc. Pear Analytics: Twitter study
    • Inc. Pear Analytics: Twitter study, http://www.pearanalytics.com/wp- content/uploads/2009/08/Twitter-Study-August-2009.pdf


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.