Open Access Open Access  Restricted Access Subscription or Fee Access

Survey on Prediction the Performance of Students Using Educational Data

Kinjal Jakhariya, Shantanu Santoki

Abstract


Education is very wide and important subject. Today education database storage is growing rapidly. From That database we can predict very important the performance of students and improve them. We have many data mining techniques for the prediction of student performance. We can compare all the method and analysis the obtain result.


Keywords


Prediction, Student, Performance, Education

Full Text:

PDF

References


Mining on Student’s Records to Predict the Behavior of Students , Kartik N. Shah, Shantanu Santoki, Himanshu Ghetia, L.Ramanthan, IEEE - International Conference on Research and Development Prospects on Engineering and Technology(ICRDPET 2013) March 29,30 - 2013 Vol.4

Predicting Students’ Marks in Hellenic Open University, Sotiris B. Kotsiantis & Panayiotis E. Pintelas, Proceedings of the Fifth IEEE International Conference on Advanced Learning Technologies (ICALT’05).

Predicting Students Academic Performance Using Education Data Mining, Suchita Borkar, K. Rajeswar, IJCSMC, Vol. 2, Issue. 7, July 2013, pg.273– 279

A Study on Student Data Analysis Using Data Mining Techniques, Umamaheswari. K S. Niraimathi, International Journal of Advanced Research in Computer Science and Software Engineering Volume 3, Issue 8, August 2013.

A Survey on Predicting Student Performance, A.Dinesh Kumar ,Dr.V.Radhika Sri Krishna Arts and Science College Coimbatore, India, International Journal of Computer Science and Information Technologies, Vol. 5 (5) , 2014, 6147-6149.

Minimum Sum of Absolute Differences implementation in a single FPGA device, Joaquin Olivares, Javier Hormigo, Julio Villalba, and Ignacio Benavides

Predicting Performance from test scores using backpropagation and counterpropagation l. v. fausett and w. elwasif,ieee.

Clustering students’ based on previous academic performance, Kartik N. Shah, Srinivasulu Kothuru and S. Vairamuthu, International Journal of Engineering Research and Applications (IJERA), Vol. 3, Issue 3, May-Jun 2013, pp.935-939.

Predicting Student Performance: An Application Of Data Mining Methods With The Educational Web-Based System Lon-Capa, Behrouz Minaei-Bidgoli Deborah A. Kashy Gerd Kortemeyer, William F. Punch , 33rdASEE/IEEE Frontiers in Education Conference, November 5-8, 2003, Boulder, CO.

Sum of Absolute Differences Algorithm in Stereo Correspondence Problem for Stereo Matching in Computer Vision Application, Rostam Affendi Hamzah osman Abd Rahim Zarina Mohd Noh ,Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on, (Volume:1 ), 652 – 657.

Survey Of Data Mining In Socio-Academic Perspective, Prof. K. Vijayalakshmi, International Journal Of Scientific & Technology Research Volume 2, Issue 9, September 2013 .

Application of data mining in employment instruction of undergraduate students, ZangWeihua, Guo rui, Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on (Volume:3 ), 772 – 775.

Application of Data Mining in Educational Databases for Predicting Academic Trends and Patterns, Suhem Parack, Zain Zahid, Fatima Merchant ,Technology Enhanced Education (ICTEE), 2012 IEEE International Conference on, 3-5 Jan. 2012,1 – 4.

Data Mining Approach For Predicting Student Performance, Edin Osmanbegović , Mirza Suljić, Economic Review – Journal of Economics and Business, Vol. X, Issue 1, May 2012 .

Mining Association Rules in Student’s Assessment Data, Dr. Varun Kumar, Anupama Chadha, IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 5, No 3, September 2012.

A Study on Educational Data Mining, Smitha Harikumar, International Journal of Computer Trends and Technology (IJCTT) – volume 8 number 2– Feb 2014.


Refbacks

  • There are currently no refbacks.