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Weka Powerful Tool in Data Mining

Published on April 2016 by Eshwari Girish Kulkarni, Raj B. Kulkarni
journal_cover_thumbnail

National Seminar on Recent Trends in Data Mining
Foundation of Computer Science USA
RTDM2016 - Number 2
April 2016
Authors: Eshwari Girish Kulkarni, Raj B. Kulkarni
2b359bbe-5780-4009-a174-041f9d6963c5

Eshwari Girish Kulkarni, Raj B. Kulkarni . Weka Powerful Tool in Data Mining. National Seminar on Recent Trends in Data Mining. RTDM2016, 2 (April 2016), 10-15.

@article{
author = { Eshwari Girish Kulkarni, Raj B. Kulkarni },
title = { Weka Powerful Tool in Data Mining },
journal = { National Seminar on Recent Trends in Data Mining },
issue_date = { April 2016 },
volume = { RTDM2016 },
number = { 2 },
month = { April },
year = { 2016 },
issn = 0975-8887,
pages = { 10-15 },
numpages = 6,
url = { /proceedings/rtdm2016/number2/24685-2575/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Seminar on Recent Trends in Data Mining
%A Eshwari Girish Kulkarni
%A Raj B. Kulkarni
%T Weka Powerful Tool in Data Mining
%J National Seminar on Recent Trends in Data Mining
%@ 0975-8887
%V RTDM2016
%N 2
%P 10-15
%D 2016
%I International Journal of Computer Applications
Abstract

The primary task of data mining is to explore the large amount data from different point of view, classify it and finally summarize it. In today's world data mining have progressively become interesting and popular in terms of all application. The data mining requires huge amount of Data sets for extraction of knowledge from it. The main aim of data mining software is to allow user to examine data. This paper is a review paper that introduces the key principle of data pre-processing, introduction of WEKA tool with classification, clustering. "Weka" is a data mining tool. In this paper we are describing the steps of how to use WEKA tool for various technologies & different facility to classify the data through various algorithms.

References
  1. Data Mining Techniques Classification and Prediction?by Han/Kamber/Pei, Tan/Steinbach/Kumar, and Andrew Moore Mirek Riedewald.
  2. Data Mining Algorithms- by Rajanchattamvelli. (Book).
  3. http://www. iasri. res. in/ebook/win_school_aa/notes/Data_Preprocessing. pdf
  4. http://pace. sdsc. edu/sites/pace. sdsc. edu/bootcamp/201402/med1ia/PACE_Bootcamp_TS2_WEKA_Intro. pdf
  5. http://www. ittc. ku. edu/~nivisid/WEKA_MANUAL. pdf
  6. http://www. gtbit. org/downloads/dwdmsem6/dwdmsem6lman. pdf
  7. http://www. ijitee. org/attachments/File/v2i6/F0843052613. pdf.
  8. http://citeseerx. ist. psu. edu/viewdoc/download?doi=10. 1. 1. 429. 1463&rep=rep1&type=pdf
  9. http://lib. ugent. be/fulltxt/RUG01/000/842/101/RUG01-000842101_2010_0001_AC. pdf
  10. http://www. cs. waikato. ac. nz/~ml/weka/index. html
  11. http://www. ijarcsse. com/docs/papers/Volume_3/9_September2013/V3I9-0189. pdf
Index Terms

Computer Science
Information Sciences

Keywords

Data Mining Weka Tool Data Pre-processing Data Set