A Review: Comparative Analysis of various Data Mining Techniques

Authors

  • Sagar P Dept. of Computer Science and Engineering, Manav Rachna International University, India
  • Goyal M Dept. of Computer Science and Engineering, Manav Rachna International University, India

Keywords:

Data mining, Classifications, Prediction, Clustering, Associatio

Abstract

Data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information – making it more accurate, reliable, efficient and beneficial. In data mining various techniques are used- classification, clustering, regression, association mining. These techniques can be used on various types of data; it may be stream data, one dimensional, two dimensional or multi-dimensional data. In this paper we analyze the data mining techniques based on various parameters. All data mining techniques used for prediction, extraction of useful data from a large data base. Each of the techniques have different performance and result .

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Published

2025-11-11

How to Cite

[1]
P. Sagar and M. Goyal, “A Review: Comparative Analysis of various Data Mining Techniques”, Int. J. Comp. Sci. Eng., vol. 4, no. 12, pp. 56–60, Nov. 2025.

Issue

Vol. 4 No. 12 (2016): IJCSE December Edition

Section

Review Article

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