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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

Preprocessor Agent Approach to Knowledge Discovery Using Zero-R Algorithm

Author 1: Inamdar S A
Author 2: Narangale S.M.
Author 3: G. N. Shinde

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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 and Keywords
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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.

Keywords: Data mining; Zero-R algorithm; Lower Bound Value; Class values.

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

@article{A2011,
title = {Preprocessor Agent Approach to Knowledge Discovery Using Zero-R Algorithm},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2011.021212},
url = {http://dx.doi.org/10.14569/IJACSA.2011.021212},
year = {2011},
publisher = {The Science and Information Organization},
volume = {2},
number = {12},
author = {Inamdar S A and Narangale S.M. and G. N. Shinde}
}


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