A web application for student trading using data mining techniques

Megha K , Ms. P. Devaki

products, recommendation, Collaborative filtering, naïve based, data mining, online trading, C2C trading.

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.

Published Paper   E-Certificate

"A web application for student trading using data mining techniques", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.3, Issue 5, page no.554 - 558, May-2018, Available :https://ijsdr.org/papers/IJSDR1805083.pdf

Volume 3 Issue 5, May-2018

Pages : 554 - 558

Paper Reg. ID: IJSDR_180317

Published Paper Id: IJSDR1805083

Downloads: 000347199

Research Area: Engineering

Country: Mysuru, Karnataka, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1805083

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1805083

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition