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===== WekaG ===== | ===== WekaG ===== | ||
- | WekaG is an extension of the Weka toolkit to a grid environment. [[http://www.cs.waikato.ac.nz/ml/weka/| Weka]]is a collection of machine learning algorithms for data mining tasks. | + | WekaG is an extension of the Weka toolkit to a grid environment. [[http://www.cs.waikato.ac.nz/ml/weka/| Weka]] is a collection of machine learning algorithms for data mining tasks. |
It contains tools for all the data mining phases: data pre-processing, data mining tasks (e.g. classification, regression, clustering, association rules), and data post-processing. One important feature of this toolkit is the flexibility ofthis tool for developing new machine learning schemes. | It contains tools for all the data mining phases: data pre-processing, data mining tasks (e.g. classification, regression, clustering, association rules), and data post-processing. One important feature of this toolkit is the flexibility ofthis tool for developing new machine learning schemes. | ||
WekaG uses [[http://www.globus.org/|Globus]] as grid middleware. | WekaG uses [[http://www.globus.org/|Globus]] as grid middleware. | ||
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of every algorithm and stage of the data mining process; and (ii) A client module (API), which is responsible for contacting to a grid service. | of every algorithm and stage of the data mining process; and (ii) A client module (API), which is responsible for contacting to a grid service. | ||
- | {{:public:schema.jpg|}WekaG} | + | {{:public:schema.jpg}} |
===== Want to learn more about WekaG? ====== | ===== Want to learn more about WekaG? ====== | ||
If you are interested in more details about the WekaG tool you can contact [[http://www.datsi.fi.upm.es/~mperez|María S. Pérez]]. | If you are interested in more details about the WekaG tool you can contact [[http://www.datsi.fi.upm.es/~mperez|María S. Pérez]]. |
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