ISSN: (Online) 2321 -4155
ISSN: (Print) 2320 -7000

JOURNAL OF INDIAN RESEARCH
VOLUME : 3, ISSUE : 4, October-December, 2015 (ISSN No. : 2321-4155)
 
DATA MINING METHODS AND THEIR APPLICATION IN RECOMMENDER SYSTEMS WITH ‘R’ PROGRAMMING LANGUAGE
Mudassir Makhdoomi, Rafi Ahmad Khan, Bharat Bhushan Sagar & Sebiha Rehman
 
ABSTRACT
Recommender Systems are processing tools which provide recommendations to people on various products. In this paper we aim to study some common data mining methods that have been successfully used in the Recommender Systems and simultaneously illustrate the methods by plotting them using various packages of R statistical programming language. Our focus will be on some commonly used classification methods: Entropy and Information Gain for selecting the most informative attribute(s) of the given data set, Naïve Bayesian Classifiers for predicting the class label when the attributes of the data set are independent of each other and Support Vector Machines, a geometric classification method.
 
KEYWORD
Classification, Entropy, Naïve Bayesian, Recommender Systems, Similarity Measures and Data reduction, SVM.
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