Review on Meta Classification Algorithms using WEKA
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International Journal of Computer Trends and Technology (IJCTT) | 
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| © 2016 by IJCTT Journal | ||
| Volume-35 Number-1 |
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| Year of Publication : 2016 | ||
| Authors : Rausheen Bal, Sangeeta Sharma | ||
| DOI : 10.14445/22312803/IJCTT-V35P107 |
Rausheen Bal, Sangeeta Sharma "Review on Meta Classification Algorithms using WEKA". International Journal of Computer Trends and Technology (IJCTT) V35(1):38-47, May 2016. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract -
This paper is having a comparative
review on different classifiers used for prediction of
attack risks on environment having network. In total
there are 19 classifiers explained in this paper and
the three best or efficient classifiers have been
evaluated by three different authors as mentioned in
this paper. The data of those three authors has been
used in this paper for doing comparison between
different classification algorithms. Comparison are
taken on the fields of TP-Rate, FP-Rate, Precision,
Recall, F-measure etc. Anlaysis was done by those
mentioned authors on WEKA tool.
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Keywords
Classification Algorithms; Intrusion
Detection System; Meta Classifier; Decision Trees;
Machine Learning; Data Mining; WEKA.