A Review on Data Mining Architecture and Process

Authors(1) :-Sakshi

Data mining is defined as the procedure of extracting information from huge sets of data. Data mining is mining knowledge from data. Data mining is also used in the fields of credit card services and telecommunication to detect frauds. In fraud telephone calls, it helps to find the destination of the call, duration of the call, time of the day or week, etc. It also analyzes the patterns that deviate from expected norms. In the process of data mining various types of classifiers have been used for decision evaluation process. In this paper various approaches have been discussed that can be used for classification of different datasets. On the basis of rules, and trees various classifiers have been reviewed and there process of classification of data has been discussed in this paper.

Authors and Affiliations

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

Data Mining, Decision Table, Decision Tree, SVM, Naïve Byes

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Publication Details

Published in : Volume 3 | Issue 2 | January-February 2018
Date of Publication : 2018-02-27
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 258-262
Manuscript Number : CSEIT1183591
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Sakshi, " A Review on Data Mining Architecture and Process", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 2, pp.258-262, January-February-2018.
Journal URL : http://ijsrcseit.com/CSEIT1183591

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