Credit Card Fraud Detection System Using Hidden Markov Model and K-Clustering

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Provided by: International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)
Topic: Big Data
Format: PDF
Credit card frauds are increasing day-by-day regardless of the various techniques developed for its detection. Fraudsters are so expert that they engender new ways for committing fraudulent transactions each day which demands constant innovation for its detection techniques as well. Many techniques based on artificial intelligence, data mining, fuzzy logic, machine learning, sequence alignment, decision tree, neural network, logistic regression, Naive Bayesian (NB), Bayesian network, metalearning, genetic programming etc., has evolved in detecting various credit card fraudulent transactions.
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