Analysis of Various Data Mining Techniques using Novel Ratings Prediction

Authors

  • Prerna Goel Department of Computer Science, Shyama Prasad Mukherjee College,University of Delhi, India
  • Reema Thareja Department of Computer Science, Shyama Prasad Mukherjee College,University of Delhi, India

DOI:

https://doi.org/10.51611/iars.irj.v7i2.2017.75

Abstract

Availability of large amount of data in unprocessed form has increased the need of data mining. Various data mining techniques are available for this purpose but we need to choose one which is more accurate. Looking at the increasing interest of people in novel reading, data collected for prediction is based on novels. People were asked to rate different genre novel s. This study has predicted ratings of dystopian novel based on ratings given to other genre novels by readers using various data mining techniques and calculated their prediction accuracy.

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Published

2017-08-29

Issue

Section

Peer Reviewed Research Manuscript

How to Cite

Goel, P. and Thareja, R. (2017) “Analysis of Various Data Mining Techniques using Novel Ratings Prediction”, IARS’ International Research Journal, 7(2). doi:10.51611/iars.irj.v7i2.2017.75.

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