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Analysis of Machine Learning Algorithms using WEKA

Published on March 2012 by Aaditya Desai, Sunil Rai
journal_cover_thumbnail

International Conference and Workshop on Emerging Trends in Technology
Foundation of Computer Science USA
ICWET2012 - Number 13
March 2012
Authors: Aaditya Desai, Sunil Rai
df541223-a7ab-4ab3-84dc-ff2c6a289fa9

Aaditya Desai, Sunil Rai . Analysis of Machine Learning Algorithms using WEKA. International Conference and Workshop on Emerging Trends in Technology. ICWET2012, 13 (March 2012), 32-37.

@article{
author = { Aaditya Desai, Sunil Rai },
title = { Analysis of Machine Learning Algorithms using WEKA },
journal = { International Conference and Workshop on Emerging Trends in Technology },
issue_date = { March 2012 },
volume = { ICWET2012 },
number = { 13 },
month = { March },
year = { 2012 },
issn = 0975-8887,
pages = { 32-37 },
numpages = 6,
url = { /proceedings/icwet2012/number13/5411-1102/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference and Workshop on Emerging Trends in Technology
%A Aaditya Desai
%A Sunil Rai
%T Analysis of Machine Learning Algorithms using WEKA
%J International Conference and Workshop on Emerging Trends in Technology
%@ 0975-8887
%V ICWET2012
%N 13
%P 32-37
%D 2012
%I International Journal of Computer Applications
Abstract

The purpose of this paper is to conduct an experimental study of real world problems using the WEKA implementations of Machine Learning algorithms. It will mainly perform classification and comparison of relative performance of different algorithms under certain criteria

References
  1. Wikipedia.org http://en.wikipedia.org/wiki/Weka_(machine_learning)
  2. WEKA Tutorial http://www.cs.utexas.edu/users/ml/tutorials/Weka-tut/
Index Terms

Computer Science
Information Sciences

Keywords

WEKA Machine Learning