Comparative Analysis of Various Data Mining Tools |
Author(s): |
| S. Subhitsha , Kumaraguru College of Technology; S. Selvakumar, Kumaraguru College of Technology; V. P. Sumathi, Kumaraguru College of Technology |
Keywords: |
| Data Mining, Data Mining Tools, Weka, Orange, Rapid Miner, R, KEEL |
Abstract |
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Today, the rapid growth in data has created the need to analyse large volumes of data for which several data mining tools have been developed over decades. Data Mining and its applications play an important role to analyse the data and provide useful insights to users. Several Data Mining tools are developed by research communities and data analysts. These tools provide users an easy to use environment to analyse data. This paper provides an overview of five most popular software tools: Weka, Orange, Rapid Miner, R, KEEL and three web based tools: PREDICT, Breast cancer treatment outcome calculator and Adjuvant online. The tools are compared based on their type, features, pros and cons, and the file formats supported by them. The common issues in the existing tools have been identified and a future work to address the issues has been proposed. |
Other Details |
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Paper ID: IJSRDV4I120368 Published in: Volume : 4, Issue : 12 Publication Date: 01/03/2017 Page(s): 363-367 |
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