Supporting fraud analysis in mobile telecommunications using case-based reasoning

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

Volumn 5239 LNAI, Issue , 2008, Pages 562-572

  Almeida, Pedro ^a   Jorge, Marco ^a   Cortesão, Luís ^b   Martins, Filipe ^c   Vieira, Marco ^a   Gomes, Paulo ^a  

^a UNIVERSITY OF COIMBRA   (Portugal)

^b PT Inovacao   (Portugal)

^c Telbit SA   (Portugal)

Author keywords

Case based reasoning; Fraud detection; Telecommunication fraud

Indexed keywords

CHLORINE COMPOUNDS; LAWS AND LEGISLATION; TELECOMMUNICATION; TELECOMMUNICATION SYSTEMS;

CASE-BASED REASONING SYSTEMS; DYNAMIC PROBLEMS; EUROPEAN; FRAUD DETECTION; MANAGEMENT SYSTEMS; MOBILE TELECOMMUNICATIONS; TELECOM OPERATORS; TELECOMMUNICATION FRAUD;

CASE BASED REASONING;

EID: 52149118926     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-85502-6_38     Document Type: Conference Paper

References (8)

1. Burge, P., Shawe-Taylos, J., Cooke, C., Moreau, Y., Preneel, B., Stoermann, C.: Fraud detection and management in mobile telecommunications networks. In: ECSD (1997)
2. Mitchell, T.M.: Machine Learning. McGraw-Hill, New York (1997)
3. Aamodt, A., Plaza, E.: Case-based reasoning: Foundational issues, methodological variations, and system approaches. AI Communications 7(1), 39-59 (1994)
4. Kolodner, J.: Case-Based Reasoning. Morgan Kaufman, San Francisco (1993)
5. Cortesão, L., Martins, F., Rosa, A., Carvalho, P.: Fraud management systems in telecommunications: a practical approach. In: ICT (2005)
6. Wheeler, R., Aitken, S.: Multiple Algorithms for Fraud Detection. Knowl.-Based Syst. 13(2-3), 93-99 (2000)
7. Weiss, G.: Data mining in telecommunications (2005)
8. Rosset, S., Murad, U., Neumann, E., Idan, Y., Pinkas, G.: Discovery of fraud rules for telecommunications challenges and solutions. In: ACM SIGKDD (1999)