Title : Prediction of Inadvertent Transaction in Online Payments Using Machine Learning Techniques

Type of Material: Thesis
Title: Prediction of Inadvertent Transaction in Online Payments Using Machine Learning Techniques
Researcher: VIVIK,V
Guide: BRINTHA RAJAKUMARI,S
Department: Department of Computer Application
Publisher: Bharath University, Chennai
Place: Chennai
Year: 2021
Language: English
Subject: Computer Science
Computer Science Artificial Intelligence
Engineering and Technology
Computer Science and Information Technology
Engineering and Technology
Dissertation/Thesis Note: PhD; Department of Computer Application, Bharath University, Chennai, Chennai; 2021; D17SC903
Fulltext: Shodhganga

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035__|a(IN-AhILN)th_455163
040__|aBHAU_600073|dIN-AhILN
041__|aeng
100__|aVIVIK,V|eResearcher
110__|aDepartment of Computer Application|bBharath University, Chennai|dChennai|ein|0U-0446
245__|aPrediction of Inadvertent Transaction in Online Payments Using Machine Learning Techniques
260__|aChennai|bBharath University, Chennai|c2021
300__|dDVD
502__|cDepartment of Computer Application, Bharath University, Chennai, Chennai|d2021|oD17SC903|bPhD
518__|d2021|oDate of Award
518__|oDate of Registration|d2017
520__|aThe term “Data Mining” and “Machine Learning” are often used interchangeably. This becomes increasingly confusing because of the fact that both Data Mining and Machine Learning has many aspects in common. Historically, the concept of Data Mining emerged before the era of Machine Learning. Data Mining has been around since 1930s and the Machine Learning came to play since 1950s. It can also be stated that Machine Learning uses Data Mining techniques for data analysis and interpretation. Data Mining incorporates the data management techniques provided by database tools with the analytical capabilities provided by statistical methods and algorithms. Machine Learning models uses similar algorithms to train itself by fitting a set of meaningful or raw data which are often constructed / gathered using various techniques like Data mining, Web scrapping, or collecting it from third party data providers like Quandl, Yahoo finance, Gapminder or US SEC. The key is, Machine Learning can make use of the informat
650__|aComputer Science and Information Technology|2UGC
650__|2AIU|aEngineering and Technology
653__|aComputer Science
653__|aComputer Science Artificial Intelligence
653__|aEngineering and Technology
700__|eGuide|aBRINTHA RAJAKUMARI,S
856__|uhttp://shodhganga.inflibnet.ac.in/handle/10603/464316|yShodhganga
905__|afromsg

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