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Call for Papers:Vol.11 Issue.3

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Title: :  Fraud Application Detection
PaperId: :  4328
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 3 Issue 2 2017
DUI:    16.0415/IJARIIE-4328
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Madhuri SanchetiSanjivani College of Engineering,Kopargaon
Tejaswini ShingareSanjivani College of Engineering,Kopargaon
Swaleha ShaikhSanjivani College of Engineering,Kopargaon
Jyoti UgaleSanjivani College of Engineering,Kopargaon
Prof.J.N.KaleSanjivani College of Engineering,Kopargaon

Abstract

Computer Engineering
Mobile Apps, ranking fraud detection, evidence aggregation, rating and review.
In today’s era, due to rapid development in the mobile technology and mobile devices, the applications i.e. mobile apps are being very interesting and popular concept. As there is large number of mobile Apps, ranking fraud is the challenging factor in front of the mobile App market. Ranking fraud is the term used for referring to fraudulent or suspicious activities having the intention of boosting up the Apps in the popularity list. In fact, App developers are using tricky means frequently for increasing their Apps sales. The main aim is to develop such system that find ranking, rating and review behaviors for investigating review based evidences, rating based evidences and ranking based evidences and then aggregation based on optimization to combine all the evidences for detection of fraud.

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IJARIIE Madhuri Sancheti, Tejaswini Shingare, Swaleha Shaikh, Jyoti Ugale, and Prof.J.N.Kale. "Fraud Application Detection" International Journal Of Advance Research And Innovative Ideas In Education Volume 3 Issue 2 2017 Page 3446-3450
MLA Madhuri Sancheti, Tejaswini Shingare, Swaleha Shaikh, Jyoti Ugale, and Prof.J.N.Kale. "Fraud Application Detection." International Journal Of Advance Research And Innovative Ideas In Education 3.2(2017) : 3446-3450.
APA Madhuri Sancheti, Tejaswini Shingare, Swaleha Shaikh, Jyoti Ugale, & Prof.J.N.Kale. (2017). Fraud Application Detection. International Journal Of Advance Research And Innovative Ideas In Education, 3(2), 3446-3450.
Chicago Madhuri Sancheti, Tejaswini Shingare, Swaleha Shaikh, Jyoti Ugale, and Prof.J.N.Kale. "Fraud Application Detection." International Journal Of Advance Research And Innovative Ideas In Education 3, no. 2 (2017) : 3446-3450.
Oxford Madhuri Sancheti, Tejaswini Shingare, Swaleha Shaikh, Jyoti Ugale, and Prof.J.N.Kale. 'Fraud Application Detection', International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 2, 2017, p. 3446-3450. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/Fraud_Application_Detection_ijariie4328.pdf (Accessed : 01 January 2020).
Harvard Madhuri Sancheti, Tejaswini Shingare, Swaleha Shaikh, Jyoti Ugale, and Prof.J.N.Kale. (2017) 'Fraud Application Detection', International Journal Of Advance Research And Innovative Ideas In Education, 3(2), pp. 3446-3450IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/Fraud_Application_Detection_ijariie4328.pdf (Accessed : 01 January 2020)
IEEE Madhuri Sancheti, Tejaswini Shingare, Swaleha Shaikh, Jyoti Ugale, and Prof.J.N.Kale, "Fraud Application Detection," International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 2, pp. 3446-3450, Mar-App 2017. [Online]. Available: http://ijariie.com/AdminUploadPdf/Fraud_Application_Detection_ijariie4328.pdf [Accessed : 01 January 2020].
Turabian Madhuri Sancheti, Tejaswini Shingare, Swaleha Shaikh, Jyoti Ugale, and Prof.J.N.Kale. "Fraud Application Detection." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 3 number 2 (01 January 2020).
Vancouver Madhuri Sancheti, Tejaswini Shingare, Swaleha Shaikh, Jyoti Ugale, and Prof.J.N.Kale. Fraud Application Detection. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2017 [Cited : 01 January 2020]; 3(2) : 3446-3450. Available from: http://ijariie.com/AdminUploadPdf/Fraud_Application_Detection_ijariie4328.pdf
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