An Extensive Study of Data Analysis Tools (Rapid Miner, Weka, R Tool, Knime, Orange)

International Journal of Computer Science and Engineering

© 2018 by SSRG - IJCSE Journal

Volume 5 Issue 9

Year of Publication : 2018

Authors : Venkateswarlu Pynam, R Roje Spanadna, Kolli Srikanth

10.14445/23488387/IJCSE-V5I9P102

How to Cite?

Venkateswarlu Pynam, R Roje Spanadna, Kolli Srikanth, "An Extensive Study of Data Analysis Tools (Rapid Miner, Weka, R Tool, Knime, Orange)," SSRG International Journal of Computer Science and Engineering , vol. 5,  no. 9, pp.  4-11, 2018. Crossref, https://doi.org/10.14445/23488387/IJCSE-V5I9P102

Abstract:

In today’s data has been increasing in the concept of 3 v’s (volume, velocity and variety) technology. Due to the large and Complex Collection of Datasets is difficult to process on traditional data processing applications. So that leads to arrive a new technology called Data Analytics. It is a science of exploring raw data and elicitation the useful information and hidden pattern. The main aim of data analysis is to use advance analytics techniques for huge and different datasets. The size of the dataset may vary from terabytes to zetta bytes and that can be structured or unstructured. The paper gives the comprehensive and theoretical analysis of five open source data analytics tools which are RapidMiner, Weka, R tool, KNIME and Orange. By employing the study the choice and selection of tools and be made easy, these tools are evaluated on basis of various parameters like amount of data used, response time, ease of use, price tag, analysis of algorithm and handling.

Keywords:

Data Analytics, Big Data, Data analytical tools, Visualization tools, Data mining

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