{"product_id":"electronic-banking-fraud-detection-using-data-mining-techniques-and-r-software-for-implementing-machine-learning-algorithms-in-prevention-of-fraud-von-sayo-enoch-aluko","title":"Electronic Banking Fraud Detection","description":"\u003cp\u003eThis research work deals with the procedures for computing the presence of outliers using various distance measures and general detection performance for unsupervised machine learning, such as the K-Mean Clustering Analysis and Principal Component Analysis. A comprehensive evaluation of Data Mining Techniques, Machine Learning and Predictive modelling for Unsupervised Anomaly Detection Algorithms on Electronic Banking Transaction data sets record for over a period of six (6) months, April to September, 2015, consisting of 9 variable data fields and 8,641 observations, were used to carry out the survey on fraud detection. On completion of the underlying system, I can conclude that integrated techniques system provide better performance efficiency than a singular system. Besides, in near real-time settings, if a faster computation is required for larger data sets, just like the unlabelled data sets used for this research work, clustering based method is preferred to classification model.\u003c\/p\u003e\u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9783659916878\"\u003e\u003ch3\u003eUsing Data Mining Techniques And R Software For Implementing Machine Learning Algorithms In Prevention Of Fraud\u003c\/h3\u003e\u003c\/div\u003e","brand":"Libri","offers":[{"title":"Softcover - 9783659916878","offer_id":39450081525853,"sku":"9783659916878","price":35.9,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/0fa3f23c-8c9d-4a85-b442-c7ba65d5e370.jpg?v=1773727946","url":"https:\/\/shop.autorenwelt.de\/en\/products\/electronic-banking-fraud-detection-using-data-mining-techniques-and-r-software-for-implementing-machine-learning-algorithms-in-prevention-of-fraud-von-sayo-enoch-aluko","provider":"Autorenwelt Shop","version":"1.0","type":"link"}