TowardS parameter-free data mining: Mining educational data with yacaree

EDM 2011 - Proceedings of the 4th International Conference on Educational Data Mining

Volumn , Issue , 2011, Pages 363-364

  Zorrilla, Martae ^a   Garćia Saiz, Diego ^a   Balćazar, Josel ^a  

^a UNIVERSITY OF CANTABRIA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING ALGORITHM; DATA MINING TECHNOLOGY; DATA SETS; EDUCATIONAL DATA MINING; HIGH POTENTIAL; PARAMETER FREE DATA MINING; QUANTITATIVE COMPARISON; TEACHING PROCESS; VIRTUAL COURSE;

EDUCATION;

DATA MINING;

EID: 84857477789     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

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2. Balcázar, J. L. 2011. Parameter-free association rule mining with yacaree. In EGC, A. Khenchaf and P. Poncelet, Eds. Revue des Nouvelles Technologies de l'Information Series, vol. RNTI-E-20. Hermann-Éditions, 251-254.
3. Borgelt, C. 2003. Efficient implementations of apriori and eclat. In FIMI, B. Goethals and M. J. Zaki, Eds. CEUR Workshop Proceedings Series, vol. 90. CEUR-WS.org.
4. García, E., Romero, C., Ventura, S., and Calders, T. 2007. Drawbacks and solutions of applying association rule mining in learning management systems. In Proceedings of the International Workshop on Applying Data Mining in e-Learning. 13-22.
5. Scheffer, T. 2001. Finding association rules that trade support optimally against confidence. In In: 5th European Conference on Principles of Data Mining and Knowledge Discovery. 424-435.