Data Mining and its Clustering Techniques : A Review

Authors(1) :-Sakshi

Data mining is the arrangement of the extraction of the concealed example from the records to be had. Differing class techniques were completed in records mining way. Those approaches have been utilized to separate the realities into extraordinary sets all together that effectively connection between select traits can be analyzed. Distinctive realities mining strategies have been utilized to help wellbeing mind specialists inside the examination of diabetes affliction. The ones frequently utilized acknowledgment on type: credulous Bayes choice tree, and neural system. Distinctive data mining strategies additionally are utilized which incorporates bit thickness, mechanically depicted associations, sacking calculation, and help vector framework. The issue of repetition in is persistently happened. In our artworks we will reduce this problem.

Authors and Affiliations

Assistant Professor, Department of Computer Science and Applications, Guru Nanak College, Ferozepur Cantt, Punjab, India

Data Mining, clustering, KNN, Fuzzy-KNN, Naïve Bayes, Neural Network, SupportVector Machine.

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Publication Details

Published in : Volume 4 | Issue 7 | March-April 2018
Date of Publication : 2018-03-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 314-317
Manuscript Number : IJSRST184850
Publisher : Technoscience Academy

Print ISSN : 2395-6011, Online ISSN : 2395-602X

Cite This Article :

Sakshi, " Data Mining and its Clustering Techniques : A Review", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 4, Issue 7, pp.314-317, March-April-2018.
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