Maximizing Student Efficiency using Data Mining Technique

Authors(1) :-PNV Syamala Rao

Data mining technology is a procedure for analyzing large amounts of available data and extracting useful information and knowledge to support critical decision-making processes. Data mining can be applied to various applications in the field of education to improve student performance. Educational data mining is developing rapidly and is an important technology for data analysis in the field of education. This paper shown different classification algorithms of data mining those are used for development of a data mining model for predictions of performances of students, on the basis of their personal demographic and academic information. This paper analyze and evaluate the students? performance by applying data mining classification algorithms in weka tool.

Authors and Affiliations

PNV Syamala Rao
Assistant Professor, Department of CSE, BVRIT, Telangana, India

Classification, Data Mining, Prediction, Performance, Knowledge, Information.

  1. Mahendra Tiwari, Yashpal Singh, "Performance Evaluation of Data Mining clustering algorithms in WEKA", Global Journal of Enterprise Information System, vol 4, Issue I, pp.24-29, Nov. 2012.
  2. Tanuja S, Dr. U. Dinesh Acharya, and Shailesh K R "Comparison of different data mining techniques to predict hospital length of Stay, Journal of Pharmaceutical and Biomedical Sciences (JPBMS)", Vol. 07, Issue 07, Oct. 2011.
  3. Sonali Agarwal, G. N. Pandey, and M. D. Tiwari, "Data Mining in Education: Data Classification and Decision Tree Approach", 2012.
  4. Monika Goyal ,Rajan Vohra2, "Applications of Data Mining in Higher Education", 2012.
  5. Surjeet Kumar Yadav, Brijesh Bharadwaj, and Saurabh Pal, "Mining Education Data to Predict Student’s Retention: A comparative Study", 2012.
  6. Brijesh Kumar Baradwaj, Saurabh Pal, "Mining Educational Data to Analyze Students Performance", 2011.
  7. K.Shanmuga Priya, A.V.Senthil Kumar, "Improving the Student’s Performance Using Educational Data Mining", 2013.
  8. Bhise R.B, Thorat S.S, Supekar A.K, "Importance of Data Mining in Higher Education System", 2013.
  9. Varun Kumar, Anupama Chadha, "Mining Association Rules in Student’s Assessment Data", 2012.
  10. Pallamreddy.venkatasubbareddy, Vuda Sreenivasarao, "The Result Oriented Process for Students Based On Distributed Data Mining", 2010.

Publication Details

Published in : Volume 2 | Issue 6 | November-December 2017
Date of Publication : 2017-12-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 500-503
Manuscript Number : CSEIT1726155
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

PNV Syamala Rao, "Maximizing Student Efficiency using Data Mining Technique", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 6, pp.500-503, November-December-2017.
Journal URL : http://ijsrcseit.com/CSEIT1726155

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