Analysis on credit card fraud detection methods

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

  author =       "S. Benson Edwin Raj and A. Annie Portia",
  title =        "Analysis on credit card fraud detection methods",
  booktitle =    "2011 International Conference on Computer,
                 Communication and Electrical Technology (ICCCET)",
  year =         "2011",
  month =        mar,
  pages =        "152--156",
  abstract =     "Due to the rise and rapid growth of E-Commerce, use of
                 credit cards for online purchases has dramatically
                 increased and it caused an explosion in the credit card
                 fraud. As credit card becomes the most popular mode of
                 payment for both online as well as regular purchase,
                 cases of fraud associated with it are also rising. In
                 real life, fraudulent transactions are scattered with
                 genuine transactions and simple pattern matching
                 techniques are not often sufficient to detect those
                 frauds accurately. Implementation of efficient fraud
                 detection systems has thus become imperative for all
                 credit card issuing banks to minimise their losses.
                 Many modern techniques based on Artificial
                 Intelligence, Data mining, Fuzzy logic, Machine
                 learning, Sequence Alignment, Genetic Programming etc.,
                 has evolved in detecting various credit card fraudulent
                 transactions. A clear understanding on all these
                 approaches will certainly lead to an efficient credit
                 card fraud detection system. This paper presents a
                 survey of various techniques used in credit card fraud
                 detection mechanisms and evaluates each methodology
                 based on certain design criteria.",
  keywords =     "genetic algorithms, genetic programming, survey",
  DOI =          "doi:10.1109/ICCCET.2011.5762457",
  notes =        "Also known as \cite{5762457}",

Genetic Programming entries for S Benson Edwin Raj A Annie Portia