Application of data mining in educational databases for predicting academic trends and patterns

Proceedings - 2012 IEEE International Conference on Technology Enhanced Education, ICTEE 2012

Volumn , Issue , 2012, Pages

  Parack, Suhem ^a   Zahid, Zain ^a   Merchant, Fatima ^a  

^a MH Saboo Siddik College of Engineering   (India)

Author keywords

Apriori Algorithm; Data Mining; K means Clustering; Student Profiling; Weka

Indexed keywords

APRIORI ALGORITHMS; EDUCATIONAL SYSTEMS; HIDDEN PATTERNS; K-MEANS CLUSTERING; MINING ASSOCIATIONS; WEKA;

DATA MINING; DATA WAREHOUSES; ENGINEERING EDUCATION; LEARNING ALGORITHMS;

STUDENTS;

EID: 84862892745     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICTEE.2012.6208617     Document Type: Conference Paper

References (6)

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2. Cristobal Romero, Sebastian Ventura. "Educational Data Mining: A Review of the State of the Art," IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS - PART C: APPLICATIONS AND REVIEWS, VOL. 40, NO. 6, NOVEMBER 2010.
3. WANG Pei-ji, SHI Lin, BAI Jin-niu, ZHAO Yu-lin. "Mining Association Rules Based on Apriori Algorithm and Application," 2009 International Forum on Computer Science-Technology and Applications.
4. Anita Wasilewska. (undated). [Online]. APRIORI Algorithm Available: http://www.cs.sunysb.edu/~cse634/lecture-notes/07apriori.pdf
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6. Vasile Paul Bresfelean. "Analysis and Predictions on Students' Behavior Using Decision Trees in Weka Environment," in Proceedings of the ITI 2007 29th Int. Conf. on Information Technology Interfaces, June 25-28, 2007, Cavtat, Croatia.