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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
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KEYWORDS
Data Mining, Association Analysis, Classification, Positive and Negative Association Rules
ABSTRACT
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.
CITED BY (10)  
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2 Ahmad, A., Shaari, F., & Long, Z. A. (2014, January). Outlier detection method based on hybrid rough: negative using PSO algorithm. In Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication (p. 108). ACM.
3 Shaari, F., Ahmad, A., & ALong, Z. (2014). Outlier Detection Method based on Hybrid Rough-Negative Algorithm. Journal of Mathematics and System Science, 4(6).
4 Devi, M. K., & Rani, M. U. Fuzzy Weighted Associative Classifier based on Positive and Negative Rules.
5 Kotulla, A. (2012). Negative associacion rules–computing, measures and application areas. Studia Informatica, 33(2B), 273-285.
6 Long, A. (2014) Outlier Detection Method based on Hybrid Rough-Negative Algorithm Mathematics and Systems Science: English, 4 (6), 391-397.
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).
9 B Aher, S., & LMRJ, L. (2012). Combination of clustering, classification & association rule based approach for course recommender system in E-learning. International Journal of Computer Applications, 39(7), 8-15.
10 Kotulla, A. (2012). Negatywne reguly asocjacyjne-wyznaczanie, miary i obszary zastosowania. Studia Informatica, 33(2B), 273-285.
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Mr. B. Ramasubbareddy
Jyothishmathi Institute of Technology and Science - India
rsreddyphd@gmail.com
Dr. A. Govardhan
JNTUH COLLEGE - India
Dr. A. Ramamohanreddy
S.V.University - India


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