Correlation review of classification algorithm using data mining tool: WEKA, Rapidminer, Tanagra, Orange and Knime

被引：61
|
作者：
Naik, Amrita [1 ]
Samant, Lilavati [1 ]
机构：
[1] Don Bosco Coll Engn, Dept Comp Engn, Margao 403604, Goa, India
来源：
INTERNATIONAL CONFERENCE ON COMPUTATIONAL MODELLING AND SECURITY (CMS 2016) | 2016年 / 85卷
关键词：
Classification; Data Ming;
D O I：
10.1016/j.procs.2016.05.251
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
This paper conducts a correlation review of classification algorithm using some free available data mining and knowledge discovery tools such as WEKA, Rapid miner, Tanagra, Orange and Knime. The accuracy of classification algorithm like Decision tree, Decision Stump, K-Nearest Neighbor and Naive Bayes algorithm have been compared using all five tools. Indian Liver Patient DataSet is used for testing the Classification algorithm in order to classify the people with and without Liver disorder. (C) 2016 The Authors. Published by Elsevier B.V.
引用
收藏
页码：662 / 668
页数：7
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