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Review of Data Mining with Weka Tool

Kulwinder Kaur1 , Shivani Dhiman2

Section:Review Paper, Product Type: Journal Paper
Volume-4 , Issue-8 , Page no. 41-44, Aug-2016

Online published on Aug 31, 2016

Copyright © Kulwinder Kaur, Shivani Dhiman . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Kulwinder Kaur, Shivani Dhiman, “Review of Data Mining with Weka Tool,” International Journal of Computer Sciences and Engineering, Vol.4, Issue.8, pp.41-44, 2016.

MLA Style Citation: Kulwinder Kaur, Shivani Dhiman "Review of Data Mining with Weka Tool." International Journal of Computer Sciences and Engineering 4.8 (2016): 41-44.

APA Style Citation: Kulwinder Kaur, Shivani Dhiman, (2016). Review of Data Mining with Weka Tool. International Journal of Computer Sciences and Engineering, 4(8), 41-44.

BibTex Style Citation:
@article{Kaur_2016,
author = {Kulwinder Kaur, Shivani Dhiman},
title = {Review of Data Mining with Weka Tool},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {8 2016},
volume = {4},
Issue = {8},
month = {8},
year = {2016},
issn = {2347-2693},
pages = {41-44},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1030},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1030
TI - Review of Data Mining with Weka Tool
T2 - International Journal of Computer Sciences and Engineering
AU - Kulwinder Kaur, Shivani Dhiman
PY - 2016
DA - 2016/08/31
PB - IJCSE, Indore, INDIA
SP - 41-44
IS - 8
VL - 4
SN - 2347-2693
ER -

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Abstract

Data mining is the process of extract unseen and hidden information from a large amount of data. It is a powerful technology that helps researchers to find the meaningful information by providing different tools and technologies. In this paper we focused on different tools, technologies and application area of data mining. Also discussed the weka tool,how we build data set for weka and how this data set is loaded on weka.

Key-Words / Index Term

DataMining,MachineLearning,Clustering,Classification, WekaTool

References

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