METALA: a J2EE technology based framework for web mining
In this paper, we discuss the most important aspects of METALA, a software tool for meta-learning that we have developed to perform inductive learning in a distributed and component based fashion. The distribution comes from the use of a well posed distributed application development standard as is...
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Universidad Autónoma de Bucaramanga
2004-06-01
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| Series: | Revista Colombiana de Computación |
| Online Access: | https://revistas.unab.edu.co/index.php/rcc/article/view/1080 |
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doaj-80192d89e5be4ac5b06e4a14d4f977ef2020-11-25T02:43:11ZengUniversidad Autónoma de BucaramangaRevista Colombiana de Computación1657-28312539-21152004-06-0151METALA: a J2EE technology based framework for web miningJuan Manuel Hernansaez0Juan A. Botía1Antonio F. Skarmeta2Departamento de la Ingeniería de la Información y las Comunicaciones, Facultad de Informática de la Universidad de Murcia,Departamento de la Ingeniería de la Información y las Comunicaciones, Facultad de Informática de la Universidad de Murcia,Departamento de la Ingeniería de la Información y las Comunicaciones, Facultad de Informática de la Universidad de Murcia,In this paper, we discuss the most important aspects of METALA, a software tool for meta-learning that we have developed to perform inductive learning in a distributed and component based fashion. The distribution comes from the use of a well posed distributed application development standard as is J2EE, and the component basis comes from the methodology we developed to integrate new learning algorithms and other software utilities into the system. Keywords: Software architecture, web usage mining, inductive learning, knowledge models, J2EE, XML. https://revistas.unab.edu.co/index.php/rcc/article/view/1080 |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Juan Manuel Hernansaez Juan A. Botía Antonio F. Skarmeta |
| spellingShingle |
Juan Manuel Hernansaez Juan A. Botía Antonio F. Skarmeta METALA: a J2EE technology based framework for web mining Revista Colombiana de Computación |
| author_facet |
Juan Manuel Hernansaez Juan A. Botía Antonio F. Skarmeta |
| author_sort |
Juan Manuel Hernansaez |
| title |
METALA: a J2EE technology based framework for web mining |
| title_short |
METALA: a J2EE technology based framework for web mining |
| title_full |
METALA: a J2EE technology based framework for web mining |
| title_fullStr |
METALA: a J2EE technology based framework for web mining |
| title_full_unstemmed |
METALA: a J2EE technology based framework for web mining |
| title_sort |
metala: a j2ee technology based framework for web mining |
| publisher |
Universidad Autónoma de Bucaramanga |
| series |
Revista Colombiana de Computación |
| issn |
1657-2831 2539-2115 |
| publishDate |
2004-06-01 |
| description |
In this paper, we discuss the most important aspects of METALA, a software tool for meta-learning that we have developed to perform inductive learning in a distributed and component based fashion. The distribution comes from the use of a well posed distributed application development standard as is J2EE, and the component basis comes from the methodology we developed to integrate new learning algorithms and other software utilities into the system.
Keywords: Software architecture, web usage mining, inductive learning, knowledge models, J2EE, XML.
|
| url |
https://revistas.unab.edu.co/index.php/rcc/article/view/1080 |
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AT juanmanuelhernansaez metalaaj2eetechnologybasedframeworkforwebmining AT juanabotia metalaaj2eetechnologybasedframeworkforwebmining AT antoniofskarmeta metalaaj2eetechnologybasedframeworkforwebmining |
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