TELeurope: KEEL dataset and a software tool to assess evolutionary algorithms for Data Mining problems (regression, classification, clustering, pattern mining and so on)

dataTEL - EATEL SIG on Data-driven Research and Learning Analytics

In the educational world, only very limited datasets are publicly available and no agreed quality standards exist on the personalization of learning. The SIG dataTEL aims to address these issues by advancing data driven research to gain verifiable and valid results and to develop a body of knowledge about the personalization of learning.

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KEEL dataset and a software tool to assess evolutionary algorithms for Data Mining problems (regression, classification, clustering, pattern mining and so on)

Hendrik Drachsler 560 days ago

KEEL (Knowledge Extraction based on Evolutionary Learning) is an open source (GPLv3) Java software tool which empowers the user to assess
                the behavior of evolutionary learning and Soft Computing based techniques for different kinds of DM problems: regression, classification,
                clustering, pattern mining and so on.
                KEEL is being developed under the Spanish National Projects
                TIC2002-04036-C05, TIN2005-08386-C05 and TIN2008-06681-C06 with the collaboration of the six following Spanish Research Groups:

datatel, educational datasets, recommender systems, standardisation

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KEEL dataset and a software tool to assess evolutionary algorithms for Data Mining problems (regression, classification, clustering, pattern mining and so on)