A Survey on Upgrading an Information Based Learning Algorithm in Data Mining

Authors

  • Pooja Nayak  RSR Rungta College of Engineering & Technology, Chhattisgarh, India
  • Kusum Sharma  RSR Rungta College of Engineering & Technology, Chhattisgarh, India

Keywords:

Educational Data Mining, Cluster Analysis, Classification, Regression Model, K-Means.

Abstract

Educational information processing (EDP) can be a mastering science, and an rising discipline, worried with studying and studying facts from academic databases. Through the exploration of those huge datasets, the use of various records processing methods, possible identify unique patterns which can help have a look at, are expecting and enhance a student's instructional overall performance. This paper elaborates a examine on numerous Educational information processing strategies and the manner they is probably used for the benefit of all the stakeholders inside the academic system. Correlation is employed to check if a version in one variable leads to a variant inside the other. Decision bushes give feasible outcomes and are used to expect students' overall performance in this observe. Regression analysis is used in the creation of a version related to a structured variable and more than one unbiased variables; if the version is satisfactory, then the price of dependent variable is decided the usage of the values of the unbiased variables. Clustering finds organizations of items so as that objects which are at some point of a cluster are more like one another than to matters in every other cluster, assisting in arranging gadgets beneath consideration; clustering would assist in studying the work profiles that might be equipped to every student.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2023-06-30

Issue

Volume 9, Issue 3, May-June-2023

Section

Research Articles

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How to Cite

[1]
Pooja Nayak, Kusum Sharma, " A Survey on Upgrading an Information Based Learning Algorithm in Data Mining" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 9, Issue 3, pp.481-487, May-June-2023.