Abstract:The credit card has become the most popular mode of payment for both online as well as regular purchase, in cases of fraud associated with it are also rising. Credit card frauds are increasing day by day regardless of various techniques developed for its detection. Fraudsters are so experts that they generate new ways of committing fraudulent transactions each day which demands constant innovation for its detection techniques. Most of the techniques based on Artificial Intelligence, Fuzzy Logic, Neural Network, Logistic Regression, Naïve Bayesian, Machine Learning, Sequence Alignment, Decision tree, Bayesian network, meta learning, Genetic programming etc., these are evolved in detecting various credit card fraudulent transactions. This paper presents a survey of various techniques used in various credit card fraud detection mechanisms.
In today’s world where we have automation in all the areas, there is one field where technology is not entered yet that is newspaper distribution system. Our system is the Online Newspaper Distribution system for vendors and customers under the administration of distributor. Online newspaper distribution is based on technology similar to that of online shopping system. Internet and use of new technologies would enhance the newspaper distribution system. Nowadays newspaper vendors are used to distribute papers manually .This manual system consisting of many problems mentioned in further description. Due to many problems of manual methods there are great chances of introducing human errors and other external issues. Our software can resolve these problems of newspaper distribution and also of customer and will find the easiest way to place an order and methods of payments in case of billing stuffs. Our software uses the existing technologies such as online transactions via credit cards. We have also added few new features.
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