DOI:10.20894/IJCOA.
Periodicity: Bi Annual.
Impact Factor:
SJIF:5.079 & GIF:0.416
Submission:Any Time
Publisher: IIR Groups
Language: English
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Published in:   Vol. 5 Issue 2 Date of Publication:   December 2016

EDM: Finding Answers to Reduce Dropout Rates in Schools

Chokanath Hymavathy,Viola R.Krishnamani, C.P.Sumathi

Page(s):   109-112 ISSN:   2278-2397
DOI:   10.20894/IJCOA.101.005.002.013 Publisher:   Integrated Intelligent Research (IIR)


  1. M.Ramaswami and R.Bhaskaran:,   "A CHAID Based Performance Prediction Model in Educational Data Mining",   IJCSI International Journal of Computer Science Is   ,Vol.7   ,Issue 1   ,2010
    View Artical

  2. I.H. Witten, E. Frank and M.A. Hall. ,   "Data Mining: Practical Machine Learning Tools and Techniques.",   Amsterdam: Elsevier,    ,Vol.11   ,Issue 1   ,2011
    View Artical

  3. C. Romero, J. R. Romero & S. Ventura, ,   "A Survey on Pre-Processing Educational Data: Educational Data Mining: Application and Trends",   Alejandro Pena-Ayala. Switzerland: Springer   ,Vol.51   ,Issue 1   ,2014
    View Artical

  4. M.Ramaswami and R.Bhaskaran:,   "A CHAID Based Performance Prediction Model in Educational Data Mining",    IJCSI International Journal of Computer Science    ,Vol.7   ,Issue 1   ,2010
    View Artical

  5. A. Velido, F. Castro & A. Nebot,,   "Clustering Educational Data: Handbook of Educational Data Mining",    CRC Press   ,Vol.33   ,Issue 1   ,2010
    View Artical

  6. Hymavathy, C. ; Krishnamani, V.R. ; Sumathi, C.P. : ,   "Analyzing learner engagement to enhance the teaching-learning experience",    IEEE   ,2014
    View Artical

  7. S. Aud, M.A. Fox & A. KewalRamani, ,   "Status and Trends in the Education of Racial and Ethnic Groups",   U.S. Department of Education, National Center for    ,2010
    View Artical

  8. A.K. Thakur & M. Dev.,   "Education Growth and Development.",    New Delhi: Deep & Deep Publications Pvt. Ltd.   ,2010
    View Artical

  9. J. Ocumpaugh, R. S.J.d. Baker, Ma. M.T. Rodrigo, ,   "Baker-Rodrigo Observation Method Protocol (BROMP)",    1.0 Training Manual version 1. 0   ,Vol.17   ,2012
    View Artical

  10. Alex J. Bowers, Ryan Sprott & Sherry Taff: ,   "Do We Know Who Will Drop Out? A Review of the Predictors of Dropping out of High School: Precision,    ,2013
    View Artical

  11. C.L. Goss & K.J. Andren.,   "Dropout prevention",    New York: Guilford Publications.   ,2014
    View Artical