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public:wekag [2010/11/18 13:18] mperez [Want to learn more about MAPFS?] |
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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}} | ||
| ===== 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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