Data mining using rules extracted from SVM: An application to churn prediction in bank credit cards

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

Volumn 5908 LNAI, Issue , 2009, Pages 390-397

  Farquad, M A H ^a,b   Ravi, V ^a   Raju, S Bapi ^b  

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

^b UNIVERSITY OF HYDERABAD   (India)

Author keywords

Churn prediction in credit cards; Naive Bayes Tree; Rule Extraction; Support Vector Machine

Indexed keywords

BANK CREDIT; BUSINESS INTELLIGENCE; BUSINESS PERSPECTIVE; CLASSIFICATION MODELS; CREDIT CARDS; DATA SETS; NAIVE BAYES; RULE EXTRACTION; UNBALANCED DATA;

FUZZY SETS; GRANULAR COMPUTING; IMAGE RETRIEVAL; ROUGH SET THEORY;

SUPPORT VECTOR MACHINES;

EID: 76649127457     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-10646-0_47     Document Type: Conference Paper

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