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Abstract
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Article Information:
A Study of Open Source Data Mining Tools and its Applications
P. Subathra, R. Deepika, K. Yamini, P. Arunprasad and Shriram K. Vasudevan
Corresponding Author: P. Subathra
Submitted: January 31, 2015
Accepted: March 12, 2015
Published: August 05, 2015 |
Abstract:
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Data Mining is a technology that is used for the process of analyzing and summarizing useful information from different perspectives of data. The importance of choosing data mining software tools for the developing applications using mining algorithms has led to the analysis of the commercially available open source data mining tools. The study discusses about the following likeness of the data mining tools-KNIME, WEKA, ORANGE, R Tool and Rapid Miner. The Historical Development and state-of-art; (i) The Applications supported, (ii) Data mining algorithms are supported by each tool, (iii) The pre-requisites and the procedures to install a tool, (iv) The input file format supported by each tool. To extract useful information from these data effectively and efficiently, data mining tools are used. The availability of many open source data mining tools, there is an increasing challenge in deciding upon the apace-updated tools for a given application. This study has provided a brief study about the open source knowledge discovery tools with their installation process, algorithms support and input file formats support.
Key words: Data Mining, KNIME, ORANGE, Rapid Miner, R-tool, WEKA,
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Cite this Reference:
P. Subathra, R. Deepika, K. Yamini, P. Arunprasad and Shriram K. Vasudevan, . A Study of Open Source Data Mining Tools and its Applications. Research Journal of Applied Sciences, Engineering and Technology, (10): 1108-1132.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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