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Paper Title: A web application for student trading using data mining techniques
Authors Name: Megha K , Ms. P. Devaki
Unique Id: IJSDR1805083
Published In: Volume 3 Issue 5, May-2018
Abstract: This is an online trading application for students within the university. This platform is used to make how junior students are related to senior students. This application is helpful for junior students by the senior students from the materials posted on the online trading. This platform is used for direct consumer-to-consumer (C2C) trading for the students in the authorized university. The main objective is for second hand products trading in this, materials like book, mobile phones, tutorials, sports equipments. Whatever the products uploaded by the seller is predicted by the machine for cost pridiction using naïve bayer method. The uploaded products are recommended to the students using Collaborative filtering method on history, this decision making is explored by the machine using the data mining technique. The data mining technique are used to get vast information of the previously stored data. This helps the user of this application to trade online without predicting the cost for C2C student trading.
Keywords: products, recommendation, Collaborative filtering, naïve based, data mining, online trading, C2C trading.
Cite Article: "A web application for student trading using data mining techniques", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.3, Issue 5, page no.554 - 558, May-2018, Available :http://www.ijsdr.org/papers/IJSDR1805083.pdf
Downloads: 0001530
Publication Details: Published Paper ID: IJSDR1805083
Registration ID:180317
Published In: Volume 3 Issue 5, May-2018
DOI (Digital Object Identifier):
Page No: 554 - 558
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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