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Fraud Detection through Machine Learning Algorithm

Author(s):

Sumit Kumar , Bharati Vidyapeeth College of Engineering Lavale Pune; Pankaj Rodage, Bharati Vidyapeeth College of Engineering Lavale Pune ; Rhushikesh Randive, Bharati Vidyapeeth College of Engineering Lavale Pune ; Prof Yogesh Kadam, Bharati Vidyapeeth College of Engineering Lavale Pune

Keywords:

Machine Learning, Deep Learning, SVM, Naïve Bayes, Fraud Detection, Clustering

Abstract

Machine Learning (ML) has unfold from the Artificial Intelligence, a field of computer science .Machine Learning (ML) is multidisciplinary field, a combination of statistics and computer science algorithms which is widely used in predictive analyses and classification. Over the past decades, Artificial intelligence (AI) stream has become the broad and exciting field in computer science as it prepare the machines to perform the tasks that human being may do. and it aims to train the computers to solve real world problems with the maximum success rate. As perceiving scientific growth and advancement in technology AI systems are now capable to learn and improve through past experiences without explicitly assistance code if they exposed to new data. Eventually it leads to technology of Machine learning (ML) which uses learning algorithms to learn from the data available. Machine Learning uses data mining techniques to extract the information from the huge size datasets. ML and Data Mining techniques explore data from end to end to find the hidden patterns inside dataset. Machine Learning and data mining algorithms has been deployed in various fields such as Computer networking, travel and tourism industry, finance forecasting, telecommunication industry and electric load forecasting and so on at least.

Other Details

Paper ID: IJSRDV8I40562
Published in: Volume : 8, Issue : 4
Publication Date: 01/07/2020
Page(s): 595-597

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