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Volumn 31, Issue 5, 2016, Pages 58-64

DNA-Inspired Online Behavioral Modeling and Its Application to Spambot Detection

Author keywords

data mining; intelligent systems; knowledge representation formalisms and methods; social science methods or tools

Indexed keywords

DATA MINING; DNA; DNA SEQUENCES; INTELLIGENT SYSTEMS; KNOWLEDGE REPRESENTATION; SOCIAL NETWORKING (ONLINE);

EID: 84991501244     PISSN: 15411672     EISSN: None     Source Type: Journal    
DOI: 10.1109/MIS.2016.29     Document Type: Article
Times cited : (167)

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    • Empirical Evaluation and New Design for Fighting Evolving Twitter Spammers
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    • Yang, C.1    Harkreader, R.2    Gu, G.3
  • 5
    • 84978971731 scopus 로고    scopus 로고
    • Catching Synchronized Behaviors in Large Networks: A Graph Mining Approach
    • M. Jiang et al., "Catching Synchronized Behaviors in Large Networks: A Graph Mining Approach," ACM Trans. Knowledge Discovery from Data, vol. 10, no. 4, 2016, pp. 1-27.
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    • Miller, Z.1
  • 10
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    • A Generic Statistical Approach for Spam Detection in Online Social Networks
    • F. Ahmed and M. Abulaish, "A Generic Statistical Approach for Spam Detection in Online Social Networks," Computer Comm., vol. 36, no. 10, 2013, pp. 1120-1129.
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  • 11
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    • Fame for Sale: Efficient Detection of Fake Twitter Followers
    • S. Cresci et al., "Fame for Sale: Efficient Detection of Fake Twitter Followers," Decision Support Systems, vol. 80, 2015, pp. 56-71.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.