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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 113
Article Submitted : 18245
Article Published : 7789
Total Authors : 20583
Total Reviewer : 750
Total Countries : 142
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| Paper Title: | The Role of Logistic Regression and Local Outlier Factor for Credit Card Fraud Identification |
| Authors Name: | Kanasani Nagamani , Sateesh Enapakurthi |
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IJRTI_185522
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| Published Paper Id: | IJRTI2303059 |
| Published In: | Volume 8 Issue 3, March-2023 |
| DOI: | |
| Abstract: | Credit cards are a crucial financial tool that enables its users to make purchases and pay at a later date. Issued by financial customs, credit cards give users a pre-agreed credit limit that they can use for their purchases. MasterCard extortion is a type of data fraud where crooks make buys utilising a Visa account which doesn't have a place with them. The two primary tactics for reducing frauds and losses caused by fraudulent conduct are fraud detection systems and fraud prevention. Fraud detection is tracking the behaviours of large groups of people in order to estimate, perceive, or identify obnoxious activity, such as fraud, intrusion, or defaulting. The Local Outlier Factor is a technique for detecting aberrant data points by comparing a data point's local variability to that of its neighbours. Under the Supervised Learning approach, one of the most prominent Machine Learning algorithms is logistic regression. |
| Keywords: | Local Outlier Factor, Logistic Regression, Fraud Detection |
| Cite Article: | "The Role of Logistic Regression and Local Outlier Factor for Credit Card Fraud Identification", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 3, page no.351 - 356, March-2023, Available :http://www.ijrti.org/papers/IJRTI2303059.pdf |
| Downloads: | 000205164 |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2303059
Registration ID:185522
Published In: Volume 8 Issue 3, March-2023
DOI (Digital Object Identifier):
Page No: 351 - 356 Country: N.T.R District, Andhra Pradesh, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2303059 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2303059 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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