A study of open-source data mining tools for forecasting

Author:

Hasim Nurdatillah1,Haris Norhaidah Abu1

Affiliation:

1. Universiti Kuala Lumpur

Publisher

ACM

Reference11 articles.

1. Alcalá-Fdez J. Sánchez L. & García S. (2009). KEEL: a software tool to assess evolutionary algorithms for data mining problems. Soft Computing. Retrieved from http://link.springer.com/article/10.1007/s00500-008-0323-y Alcalá-Fdez J. Sánchez L. & García S. (2009). KEEL: a software tool to assess evolutionary algorithms for data mining problems. Soft Computing . Retrieved from http://link.springer.com/article/10.1007/s00500-008-0323-y

2. Chen X. Ye Y. Williams G. & Xu X. (2007). A survey of open source data mining systems. Emerging Technologies in Knowledge Discovery and Data Mining (60603066) 3--14. Retrieved from http://link.springer.com/chapter/10.1007/978-3-540-77018-3_2 Chen X. Ye Y. Williams G. & Xu X. (2007). A survey of open source data mining systems. Emerging Technologies in Knowledge Discovery and Data Mining (60603066) 3--14. Retrieved from http://link.springer.com/chapter/10.1007/978-3-540-77018-3_2

3. Collier K. Ph D. Carey B. & Marjaniemi C. (1999). A Methodology for Evaluating and Selecting Data Mining Software Keywords: Data Mining Tool Evaluation Knowledge Discovery 00(c) 1--11. Collier K. Ph D. Carey B. & Marjaniemi C. (1999). A Methodology for Evaluating and Selecting Data Mining Software Keywords: Data Mining Tool Evaluation Knowledge Discovery 00 (c) 1--11.

4. Enright J. (2004). Tanagra: An Evaluation Introduction to Tanagra Data Import / Export 1--8. Enright J. (2004). Tanagra: An Evaluation Introduction to Tanagra Data Import / Export 1--8.

5. Implementation and integration of algorithms into the KEEL data-mining software tool;Fernández A.;Intelligent Data Engineering and Automated Learning - IDEAL,2009

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