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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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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