Use of Dempster-Shafer theory and bayesian inferencing for fraud detection in mobile communication networks

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

Volumn 4586 LNCS, Issue , 2007, Pages 446-460

  Panigrahi, Suvasini ^a   Kundu, Amlan ^a   Sural, Shamik ^a   Majumdar, A K ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Bayesian learning; Dempster Shafer theory; Fraud detection; Mobile communication networks

Indexed keywords

BAYESIAN NETWORKS; DATABASE SYSTEMS; INTRUSION DETECTION; KNOWLEDGE BASED SYSTEMS; MOBILE PHONES;

BAYESIAN INFERENCING; BAYESIAN LEARNING; DEMPSTER-SHAFER THEORY; DEVIATION DETECTOR; FRAUD DETECTION;

MOBILE TELECOMMUNICATION SYSTEMS;

EID: 38349011316     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-73458-1_32     Document Type: Conference Paper

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