An unbalanced data classification model using hybrid sampling technique for fraud detection

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

Volumn 4815 LNCS, Issue , 2007, Pages 341-348

  Padmaja, T Maruthi ^a   Dhulipalla, Narendra ^a   Krishna, P Radha ^a   Bapi, Raju S ^b   Laha, A ^a  

^a INSTITUTE FOR DEVELOPMENT AND RESEARCH IN BANKING TECHNOLOGY   (India)

^b UNIVERSITY OF HYDERABAD   (India)

Author keywords

Fraud detection; Hybrid sampling and data mining; SMOTE; VDM

Indexed keywords

DATA STRUCTURES; INTRUSION DETECTION; MATHEMATICAL MODELS; PROBLEM SOLVING; RADIAL BASIS FUNCTION NETWORKS; SAMPLING;

DATA CLASSIFICATION; FRAUD DETECTION; HYBRID SAMPLING; VALUE DIFFERENCE METRIC (VDM);

DATA REDUCTION;

EID: 38149088766     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-77046-6_43     Document Type: Conference Paper

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