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Fraud Detection of Credit Card Payment System by Genetic Algorithm
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Abstract:With an increase usage of credit cards for online purchases as well as regular purchases, causes a credit card fraud. In the mode of electronic payment system, fraud transactions are rising on the regular basis. The Modern techniques based on the Data

Credit Card Fraud Detection Prevention of Fraud Using Genetic Algorithm
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Abstract:Companies and institutions move parts of their business, or the entire business, towards online services providing e-commerce, information and communication services for the purpose of allowing their customers better efficiency and accessibility. Payment card

Mobile robot scheduling using a genetic algorithm enhanced with a credit gain mechanism
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Abstract. We address the problem of scheduling an office delivery service accomplished by mobile robots using a genetic algorithm. We specialize traditional GA crossover operators introducing new criteria such as time, capacity, distance, random choice etc to get the

USE OF GENETIC ALGORITHM, CLUSTERING AND FEATURE SELECTION TECHNIQUES IN CONSTRUCTION OF DECISION TREE MODELS FOR CREDIT
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ABSTRACT Decision tree modelling, as one of data mining techniques, is used for credit scoring of bank customers. The main problem is the construction of decision trees that could classify customers optimally. This study presents a new hybrid mining approach in the

BP neural network for power supply enterprise credit evaluation based on genetic algorithm optimization [J]
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Abstract Power supply enterprise's credit has great important significance for power supply enterprise. A comprehensive evaluation analysis to power supply enterprise's credit can enhance credit risk control of power supply enterprise, and improve power supply

Optimization Of Fuzzy Membership Function Using Genetic Algorithm To Minimize The Mean Square Error Of Credit Status Prediction
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Abstract Releasing loan to customer is one of issue in sharia banking. To release the loan to the right customer who is capable of returning the payments require good prediction. Fuzzy logic is used to predict the credit status. As the tool in expert systems, expert knowledge is

A Meta-Heuristic Multi-Objective Fuzzy Simplex-Genetic Algorithm for Credit Rating Prediction of Banks Customers
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This study examines a multi-objective fuzzy simplex-genetic algorithm which was developed to predict bank legal customers financial performance. Prediction performance of the model was examined based on its ability to accurately identify credit default. Using available data

Minimizing Credit Card False Alerts Using Genetic Algorithm
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ABSTRACT This paper describes about the detection of credit card fraud using genetic algorithm. It helps to minimize the number of false alerts. When a card is copied or stolen or lost or captured by fraudsters, it is misused till the available limit is minimal. Hence, this

Least Square Support Vector Machine based on genetic algorithm for credit risk evaluation
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Abstract One of the most important problems that banks and financial institutions always deal with is credit risk or the uncertainty in counter party's ability to meet its financial obligations. The significant amount of bank's outstanding claims in all over the world

TECHNIQUES TO PREVENT CREDIT CARD FROM VARIOUS FRAUDLENT BY GENETIC ALGORITHM AND HIDDEN MARKOV MODEL.
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Abstract: Today's world runs on effective system technology. Most of the cases are using the electronic payment system. Credit card are used in widely all over the world. Mostly using of credit cards are for online purchasing and for regular shopping and transaction.

A New Feature Selection Technique Applied to Credit Scoring Data Using a Rank Aggregation Approach Based on: Optimization, Genetic Algorithm and
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Abstract Credit scoring has been developed as an essential tool especially in the credit departments of banks that have to deal with a huge sum of credit data. A credit scoring model makes loaning process faster. However, it's nearly unfeasible to analyze this large

Credit Scoring for Cooperative of Financial Services Using Logistic Regression Estimated byGenetic Algorithm
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Abstract. One of the Cooperative of Financial Services is disbursed loans to debtors (members and prospective members). In lending (provision of credit) is likely to arise the problem, namely the possibility of debt default by the debtor. To anticipate the risk of

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