Comparative Analysis of Data Mining Techniques

Authors

  • kaur S Dept. of C.S.E, Baba Farid College of Engineering and Technology, Bathinda, Punjab
  • Chinu Dept. of C.S.E, Baba Farid College of Engineering and Technology, Bathinda, Punjab

DOI:

https://doi.org/10.26438/ijcse/v6i4.301304

Keywords:

Data mining, Data mining techniques, Predictive and Descriptive DM techniques

Abstract

Data mining is the area of research, which means that useful information or knowledge is extracted from previous data. Data mining defines large amounts of data as a process of finding information such as super market data for various technologies used for data mining, such as science, research, medicine, media, web, entertainment and many other areas, which is implemented with various goods, data mining model data warehouses and online analytical resources. Data mining has made a immense advancement in recent year but the problem of lost data has remained a big challenge for data mining algorithms. This paper analyzed the predictive and descriptive techniques such as classification, regression time series analysis ,predication and clustering, summarization, association rules, sequence discovery techniques on the basis of algorithms which is used to predict previously unidentified class of objects.

References

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Published

2025-11-12
CITATION
DOI: 10.26438/ijcse/v6i4.301304
Published: 2025-11-12

How to Cite

[1]
S. kaur and Chinu, “Comparative Analysis of Data Mining Techniques”, Int. J. Comp. Sci. Eng., vol. 6, no. 4, pp. 301–304, Nov. 2025.

Issue

Vol. 6 No. 4 (2018): IJCSE April Edition

Section

Review Article

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