A data mining framework for detecting subscription fraud in telecommunication

Engineering Applications of Artificial Intelligence

Volumn 24, Issue 1, 2011, Pages 182-194

  Farvaresh, Hamid ^a   Sepehri, Mohammad Mehdi ^a  

^a TARBIAT MODARES UNIVERSITY   (Iran)

Author keywords

Data mining; Decision tree; Ensembles; Fraud detection; Neural networks; Support vector machines; Telecommunication

Indexed keywords

CLASSIFICATION RESULTS; CONSENSUS VOTING; DATA MINING TECHNIQUES; DATA SETS; ENSEMBLE CLASSIFIERS; ENSEMBLES; FRAUD DETECTION; HYBRID APPROACH; K-MEANS; KNOWLEDGE DISCOVERY PROCESS; OUTLIER CASE; PREDICTION ACCURACY; SUPPORT VECTOR; TELECOMMUNICATION COMPANIES;

CLASSIFIERS; CRIME; CUSTOMER SATISFACTION; DATA MINING; DECISION TREES; INDUSTRY; STATISTICAL TESTS; SUPPORT VECTOR MACHINES; TELECOMMUNICATION; VECTORS;

NEURAL NETWORKS;

EID: 78649651248     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2010.05.009     Document Type: Article

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