A Hybrid Data Mining Approach To Evaluate Performance of Classification And Clustering Methods Implemented On Weka Platform

Authors(2) :-Erica Sethi, Krishan Kumar

Data mining is the process of finding of hidden information from a huge amount of data. Data mining analyzing the data from different source and convert it into meaningful information. Data mining is a new powerful technology that helps business to focus on important information like future trends, decision making, customer choice etc. A target dataset is prepared before applying the data mining algorithm. The common source of data is the data warehouse. Pre processing is needed to analyze the data sets before applying the data mining. Data mining is also defined as the process of discovering patterns in data. The process must be automatic or (more usually) semi-automatic. The patterns discovered must be meaningful in that they lead to some advantage, usually an economic advantage. The data invariably present in substantial quantities. Different types of learning techniques can be used, including classification, association rules, clustering, attribute selection, normalization, instance based measures and decision trees. Selection of a learning technique is a difficult task that depends on the database and the types of desired results. Raw data is useless without techniques to extract information from it. Main reasons to use data mining are too much data & too little information and need to extract useful information from the data and to interpret the data.

Authors and Affiliations

Erica Sethi
M.Tech (CSE), JCDM College of Engineering, Sirsa, India
Krishan Kumar
Assistant Professor (CSE), JCDM College of Engineering, Sirsa, India

WEKA, Classification Technique, Data Mining, Clustering Technique

  1. JVasuki, S.Priyadarshini, “A STUDY ON BASICS OF DATA MINING, MACHINE LEARNING AND BIG DATA” International Journal of Innovative Research in Computer and Communication Engineering, ISSN: 2320-9801, Vol. 5, Issue 1, January 2017, pp. 199-206.
  2. NV. Ramana Murty and Prof. M.S. Prasad Babu, “A CRITICAL STUDY OF CLASSIFICATION ALGORITHMS FOR LUNGCANCER DISEASE DETECTION AND DIAGNOSIS” International Journal of Computational Intelligence Research ISSN 0973-1873 Volume 13, Number 5 (2017), pp. 1041-1048.
  3. K Sumathi, S. Kannan, K. Nagarajan “DATA MINING: ANALYSIS OF STUDENT DATABASE USING CLASSIFICATION TECHNIQUES” International Journal of Computer Applications, ISSN: 0975 – 8887, Volume 141 – No.8, May 2016, pp. 22-27.
  4. PKeerthana, P.Thamilselvan, J.G.R. Sathiaseelan, “PERFORMANCE ANALYSIS OF DATA MINING ALGORITHMS FOR MEDICAL IMAGE CLASSIFICATION”, International Journal of Computer Science and Mobile Computing, ISSN 2320–088X, Vol. 5, Issue. 3, March 2016, pg.604 – 609.
  5. Alpa Shah, Ravi Gulati “PRIVACY PRESERVING DATA MINING: TECHNIQUES, CLASSIFICATION AND IMPLICATIONS - A SURVEY” International Journal of Computer Applications, ISSN: 0975 – 8887, Volume 137 – No.12, March 2016, pp. 40-46.
  6. Dr. P. Nithya, B. Umamaheswari, A. Umadevi, “A SURVEY ON EDUCATIONAL DATA MINING IN FIELD OF EDUCATION” International Journal of Advanced Research in Computer Engineering & Technology (IJARCET), ISSN: 2278 – 1323, Volume 5 Issue 1, January 2016, pp. 69-78.
  7. Sukhvir Kaur, “SURVEY OF DIFFERENT DATA CLUSTERING ALGORITHMS”, International Journal of Computer Science and Mobile Computing, ISSN 2320–088X, Vol. 5, Issue. 5, May 2016, pg.584 – 588.
  8. Mythili S, Madhiya E, “AN ANALYSIS ON CLUSTERING ALGORITHMS IN DATA MINING”, International Journal of Computer Science and Mobile Computing, ISSN 2320–088X, Vol. 3, Issue. 1, January 2014, pg.334 – 340.
  9. Sonam Narwal, Kamaldeep Mintwal “COMPARISON THE VARIOUS CLUSTERING AND CLASSIFICATION ALGORITHMS OF WEKA TOOLS” International Journal of Advanced Research in Computer Science and Software Engineering, ISSN: 2277 128X, Volume 3, Issue 12, December 2013, pp. 866-878

Publication Details

Published in : Volume 3 | Issue 5 | May-June 2018
Date of Publication : 2018-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 266-273
Manuscript Number : CSEIT183569
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Erica Sethi, Krishan Kumar, "A Hybrid Data Mining Approach To Evaluate Performance of Classification And Clustering Methods Implemented On Weka Platform", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 5, pp.266-273, May-June-2018.
Journal URL : http://ijsrcseit.com/CSEIT183569

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