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Digital Object Identifier (DOI) : 10.14569/IJACSA.2011.021212
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 2 Issue 12, 2011.
Abstract: Data mining and multiagent approach has been used successfully in the development of large complex systems. Agents are used to perform some action or activity on behalf of a user of a computer system. The study proposes an agent based algorithm PrePZero-r using Zero-R algorithm in Weka. Algorithms are powerful technique for solution of various combinatorial or optimization problems. Zero-R is a simple and trivial classifier, but it gives a lower bound on the performance of a given dataset which should be significantly improved by more complex classifiers. The Proposed Algorithm called PrePZero-r has significantly reduced time taken to build the model than Zero-R algorithm by removing the Lower Bound Values 0 while preprocessing and comparing the result with class values. Also proposed study introduced new factor “Accuracy (1-e)” for each individual attribute.
Inamdar S A, Narangale S.M. and G. N. Shinde, “Preprocessor Agent Approach to Knowledge Discovery Using Zero-R Algorithm” International Journal of Advanced Computer Science and Applications(IJACSA), 2(12), 2011. http://dx.doi.org/10.14569/IJACSA.2011.021212