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Classification based on Positive and Negative Association Rules
B. Ramasubbareddy, A. Govardhan, A. Ramamohanreddy
Pages - 84 - 92     |    Revised - 01-05-2011     |    Published - 31-05-2011
Volume - 2   Issue - 2    |    Publication Date - May / June 2011  Table of Contents
Data Mining, Association Analysis, Classification, Positive and Negative Association Rules
Association analysis, classification and clustering are three different techniques in data mining. Associative classification is a classification of a new tuple using association rules. It is a combination of association rule mining and classification. In this, we can search for strong associations between frequent patterns and class labels. The main aim of this paper is to improve accuracy of a classifier. The accuracy can be achieved by producing all types of negative class association rules.
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4 Devi, M. K., & Rani, M. U. Fuzzy Weighted Associative Classifier based on Positive and Negative Rules.
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7 Aher, S., & Lobo, L. M. R. J. (2012). Mining association rule in classified data for course recommender system in e-learning. International Journal of Computer Applications, 39(7), 1-7.
8 Aher, S. B., & Lobo, L. M. R. (2012). Best combination of machine learning algorithms for course recommendation system in e-learning. International Journal of Computer Applications, 41(6).
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Mr. B. Ramasubbareddy
Jyothishmathi Institute of Technology and Science - India
Dr. A. Govardhan
Dr. A. Ramamohanreddy
S.V.University - India

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