CFP last date
20 January 2025
Reseach Article

Comparative Study of Data Mining Tools and Analysis with Unified Data Mining Theory

by Harshvardhan Solanki
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 75 - Number 16
Year of Publication: 2013
Authors: Harshvardhan Solanki
10.5120/13195-0862

Harshvardhan Solanki . Comparative Study of Data Mining Tools and Analysis with Unified Data Mining Theory. International Journal of Computer Applications. 75, 16 ( August 2013), 23-28. DOI=10.5120/13195-0862

@article{ 10.5120/13195-0862,
author = { Harshvardhan Solanki },
title = { Comparative Study of Data Mining Tools and Analysis with Unified Data Mining Theory },
journal = { International Journal of Computer Applications },
issue_date = { August 2013 },
volume = { 75 },
number = { 16 },
month = { August },
year = { 2013 },
issn = { 0975-8887 },
pages = { 23-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume75/number16/13195-0862/ },
doi = { 10.5120/13195-0862 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:44:26.584786+05:30
%A Harshvardhan Solanki
%T Comparative Study of Data Mining Tools and Analysis with Unified Data Mining Theory
%J International Journal of Computer Applications
%@ 0975-8887
%V 75
%N 16
%P 23-28
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Today almost everyone has access to huge amount of data. Several wide spread organizations have their own large data repositories, data warehouses, which are still expanding with queries over data and the need for extraction of most beneficial data pattern and refined knowledge. This necessity is followed by the requirement of an apt data mining tool to help with decision making and query pre-processing. However, in this paper, a study will be presented of analysis of the selected tools to deal with the selection of the most apt tool for mining suitable for a particular data type. This research provides with the complete analysis of a tool regarding the features and functionalities offered by them. The tools are compared based on their specification and techniques and algorithms used in these tools along with the features it provides. This paper also introduces the Unification theory, one of the major issues with data mining and presents methodologies which can be used for formulation of this theory. At the end the shortcomings with these methodologies is also discussed.

References
  1. "A comparative analysis of data mining tools in agent based systems", Sharon Christa, K. Laxmi Madhuri, V. Suma, research and industry incubation centre, Dhyanchand Sagar institutions.
  2. "A Comparison study between data mining tools with some classification methods", Abdullah H. Wahbeh, Qasem A. Al-Radaideh, Mohammed N. Al-Kabi, and Emad M. Al-Shawakfa.
  3. "Evaluation of Fourteen Desktop Data Mining Tools", Michel A. King and John F. Elder IV, Ph. D. , Department of Systems Engineering- summary.
  4. "Suitability analysis of data mining tools and methods" Samuel Ková?, Masaryk university faculty of informatics.
  5. "Towards the Formulation of a Unified Data Mining Theory, Implemented by Means of Multiagent Systems (MASs)", Dost Muhammad Khan, Nawaz Mohamudally and D. K. R. Babajee.
  6. "A Study of Data Mining Tools in Knowledge Discovery Process", Y. Ramamohan, K. Vasantharao, C. Kalyana Chakravarti, A. S. K. Ratnam.
  7. "Towards a General Framework for Data Mining", Sa?so D?zeroski Jo?zef Stefan Institute, Jamova 39, 1000 Ljubljana, Slovenia
  8. Principles of Data Mining, by David Hand, Heikki Mannila and Padhraic Smyth
  9. WEKA, the University of Waikato, Available at: http://www. cs. waikato. ac. nz/ml/weka/downloading. html
  10. KNIME -Available at: http://www. knime. org/download-desktop
  11. "Open-Source Tools for Data Mining" Blaz Zupan, PhD, Janez Demsar, PhD.
  12. "Tanagra: An Evaluation" Jessica Enright Jonathan Klippenstein, November 5th, 2004
  13. UCI Machine learning repository. Available at: http://archive. ics. uci. edu/ml/
Index Terms

Computer Science
Information Sciences

Keywords

Data Mining tools data classification Unified data mining theory Unified data mining process Data mining with Multi Agent Systems WEKA Tanagra KNIME