METALA: un marco basado en tecnología J2EE para minería web

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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Autores:: Hernansaez, Juan Manuel
Botía, Juan A.
Skarmeta, Antonio F.

Tipo de recurso:: Trabajo de grado de pregrado

Fecha de publicación:: 2004

Institución:: Universidad Autónoma de Bucaramanga - UNAB

Repositorio:: Repositorio UNAB

Idioma:: spa

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dc.title.spa.fl_str_mv	METALA: un marco basado en tecnología J2EE para minería web
dc.title.translated.eng.fl_str_mv	METALA: a J2EE technology based framework for web mining
title	METALA: un marco basado en tecnología J2EE para minería web
spellingShingle	METALA: un marco basado en tecnología J2EE para minería web Innovaciones tecnológicas Ciencia de los computadores Desarrollo de tecnología Ingeniería de sistemas Investigaciones Tecnologías de la información y las comunicaciones TIC´s Technological innovations Computer science Technology development Systems engineering Investigations Information and communication technologies ICT's Software architecture Web usage mining Inductive learning Knowledge models J2EE XML Desarrollo tecnológico Innovaciones tecnológicas Ciencias de la computación Investigación Tecnología de la información y la comunicación Arquitectura del software Minería de uso de la web Aprendizaje inductivo Modelos de conocimiento J2EE XML
title_short	METALA: un marco basado en tecnología J2EE para minería web
title_full	METALA: un marco basado en tecnología J2EE para minería web
title_fullStr	METALA: un marco basado en tecnología J2EE para minería web
title_full_unstemmed	METALA: un marco basado en tecnología J2EE para minería web
title_sort	METALA: un marco basado en tecnología J2EE para minería web
dc.creator.fl_str_mv	Hernansaez, Juan Manuel Botía, Juan A. Skarmeta, Antonio F.
dc.contributor.author.spa.fl_str_mv	Hernansaez, Juan Manuel Botía, Juan A. Skarmeta, Antonio F.
dc.contributor.googlescholar.spa.fl_str_mv	Botía, Juan A. [IFiSPE4AAAAJ]
dc.contributor.orcid.spa.fl_str_mv	Botía, Juan A. [0000-0002-6992-598X] Skarmeta, Antonio F. [0000-0002-5525-1259]
dc.contributor.researchgate.spa.fl_str_mv	Botía, Juan A. [Juan-Botia]
dc.subject.none.fl_str_mv	Innovaciones tecnológicas Ciencia de los computadores Desarrollo de tecnología Ingeniería de sistemas Investigaciones Tecnologías de la información y las comunicaciones TIC´s
topic	Innovaciones tecnológicas Ciencia de los computadores Desarrollo de tecnología Ingeniería de sistemas Investigaciones Tecnologías de la información y las comunicaciones TIC´s Technological innovations Computer science Technology development Systems engineering Investigations Information and communication technologies ICT's Software architecture Web usage mining Inductive learning Knowledge models J2EE XML Desarrollo tecnológico Innovaciones tecnológicas Ciencias de la computación Investigación Tecnología de la información y la comunicación Arquitectura del software Minería de uso de la web Aprendizaje inductivo Modelos de conocimiento J2EE XML
dc.subject.keywords.eng.fl_str_mv	Technological innovations Computer science Technology development Systems engineering Investigations Information and communication technologies ICT's Software architecture Web usage mining Inductive learning Knowledge models J2EE XML
dc.subject.lemb.spa.fl_str_mv	Desarrollo tecnológico Innovaciones tecnológicas Ciencias de la computación Investigación Tecnología de la información y la comunicación
dc.subject.proposal.spa.fl_str_mv	Arquitectura del software Minería de uso de la web Aprendizaje inductivo Modelos de conocimiento J2EE XML
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.
publishDate	2004
dc.date.issued.none.fl_str_mv	2004-06-01
dc.date.accessioned.none.fl_str_mv	2020-10-27T00:21:19Z
dc.date.available.none.fl_str_mv	2020-10-27T00:21:19Z
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dc.relation.none.fl_str_mv	https://revistas.unab.edu.co/index.php/rcc/article/view/1080/1052
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dc.relation.references.none.fl_str_mv	R. Agrawal and R. Srikant. Fast algorithms for mining association rules. In Jorge B. Bocca, Matthias Jarke, and Carlo Zaniolo, editors, Proc. 20th Int. Conf. Very Large Data Bases, VLDB, pages 487–499. Morgan Kaufmann, 12–15 1994. J.A. Botia, A.G. Skarmeta, M. Valdes, and A. Padilla. Metala: A meta-learning architecture. In Proceeding of the 7th Fuzzy Days, Dortmund, Germany, October 2001. S. Brantschen and T. Haas. Agents in a j2ee world. Technical report, Whitestein Technologies AG, 2002. M-S. Chen, J.S. Park, and P.S. Yu. Efficient data mining for path traversal patterns. Knowledge and Data Engineering, 10(2):209–221, 1998. R. Cooley, B. Mobasher, and J. Srivastava. Data preparation for mining world wide web browsing patterns. Knowledge and Information Systems, 1(1):5–32, 1999. R. Cooley, P. Tan, and J. Srivastava. Websift: the web site information filter system, 1999. R. Cooley, P-N. Tan, and J. Srivastava. Discovery of interesting usage patterns from web data. In WEBKDD, pages 163–182, 1999. Global Grid Forum. Open grid services infrastructure (ogsi) version 1.0, 2003. A. Joshi and R. Krishnapuram. On mining web access logs. In ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, pages 63–69, 2000. B. Mobasher, R. Cooley, and J. Srivastava. Automatic personalization based on Web usage mining. Communications of the ACM, 43(8):142–151, 2000. K-L. Ong, W-K. Ng, and E-P. Lim. A web mining platform for enhancing knowledge management on the web. In Proc. of Int. Workshop on Integrating Data Mining and Knowledge Management (in conj. with 1st IEEE Int. Conf. on Data Mining), San Jose, California, 2001. S.K. Pal, V. Talwar, and P. Mitra. Web mining in soft computing framework: Relevance, state of the art and future directions. In IEEE Transactions on Neural Networks, volume 13 of 5, pages 1163–1177, 2002. M. Spiliopoulou. Web usage mining for web site evaluation. Commun. ACM, 43(8):127– 134, 2000. M. J. Wooldridge. Introduction to Multiagent Systems. John Wiley and Sons, New York, USA, 2002. J. Xu, Y. Huang, and G. Madey. A research support system framework for web data mining. In J. T. Yao and P. Lingras, editors, WI/IAT 2003 Workshop on Applications, Products and Services of Web-based Support Systems, Halifax, Canada, 2003.
dc.rights.none.fl_str_mv	Derechos de autor 2004 Revista Colombiana de Computación
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publisher.none.fl_str_mv	Universidad Autónoma de Bucaramanga UNAB
dc.source.none.fl_str_mv	Revista Colombiana de Computación; Vol. 5 Núm. 1 (2004): Revista Colombiana de Computación; 1-12
institution	Universidad Autónoma de Bucaramanga - UNAB
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spelling	Hernansaez, Juan Manueldd84cefb-d071-4be8-b0c9-462cabc4c37dBotía, Juan A.85f985d2-ec37-4358-872b-a2f3edb09023Skarmeta, Antonio F.f52a954b-577f-4db1-b8ed-ee9abc633cf2Botía, Juan A. [IFiSPE4AAAAJ]Botía, Juan A. [0000-0002-6992-598X]Skarmeta, Antonio F. [0000-0002-5525-1259]Botía, Juan A. [Juan-Botia]2020-10-27T00:21:19Z2020-10-27T00:21:19Z2004-06-012539-21151657-2831http://hdl.handle.net/20.500.12749/9039instname:Universidad Autónoma de Bucaramanga UNABrepourl:https://repository.unab.edu.coIn 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.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. We aim to use this new architecture for evaluate algorithms of Web Usage Mining, a concrete learning problem of the Web Mining area, and for taking advantage of these algorithms to build new knowledge models. These models can be used then to create and incorporate new applications and tools to the architecture. We discuss the advantages and flaws of using J2EE as the technology basis. We also compare our architecture with some other software platforms intended to solve similar Web Mining problems as METALA can solve. To illustrate the use of METALA, we present a complete Web Usage Mining life cycle process explanation.application/pdfspaUniversidad Autónoma de Bucaramanga UNABhttps://revistas.unab.edu.co/index.php/rcc/article/view/1080/1052https://revistas.unab.edu.co/index.php/rcc/article/view/1080R. Agrawal and R. Srikant. Fast algorithms for mining association rules. In Jorge B. Bocca, Matthias Jarke, and Carlo Zaniolo, editors, Proc. 20th Int. Conf. Very Large Data Bases, VLDB, pages 487–499. Morgan Kaufmann, 12–15 1994.J.A. Botia, A.G. Skarmeta, M. Valdes, and A. Padilla. Metala: A meta-learning architecture. In Proceeding of the 7th Fuzzy Days, Dortmund, Germany, October 2001.S. Brantschen and T. Haas. Agents in a j2ee world. Technical report, Whitestein Technologies AG, 2002.M-S. Chen, J.S. Park, and P.S. Yu. Efficient data mining for path traversal patterns. Knowledge and Data Engineering, 10(2):209–221, 1998.R. Cooley, B. Mobasher, and J. Srivastava. Data preparation for mining world wide web browsing patterns. Knowledge and Information Systems, 1(1):5–32, 1999.R. Cooley, P. Tan, and J. Srivastava. Websift: the web site information filter system, 1999.R. Cooley, P-N. Tan, and J. Srivastava. Discovery of interesting usage patterns from web data. In WEBKDD, pages 163–182, 1999.Global Grid Forum. Open grid services infrastructure (ogsi) version 1.0, 2003.A. Joshi and R. Krishnapuram. On mining web access logs. In ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, pages 63–69, 2000.B. Mobasher, R. Cooley, and J. Srivastava. Automatic personalization based on Web usage mining. Communications of the ACM, 43(8):142–151, 2000.K-L. Ong, W-K. Ng, and E-P. Lim. A web mining platform for enhancing knowledge management on the web. In Proc. of Int. Workshop on Integrating Data Mining and Knowledge Management (in conj. with 1st IEEE Int. Conf. on Data Mining), San Jose, California, 2001.S.K. Pal, V. Talwar, and P. Mitra. Web mining in soft computing framework: Relevance, state of the art and future directions. In IEEE Transactions on Neural Networks, volume 13 of 5, pages 1163–1177, 2002.M. Spiliopoulou. Web usage mining for web site evaluation. Commun. ACM, 43(8):127– 134, 2000.M. J. Wooldridge. Introduction to Multiagent Systems. John Wiley and Sons, New York, USA, 2002.J. Xu, Y. Huang, and G. Madey. A research support system framework for web data mining. In J. T. Yao and P. Lingras, editors, WI/IAT 2003 Workshop on Applications, Products and Services of Web-based Support Systems, Halifax, Canada, 2003.Derechos de autor 2004 Revista Colombiana de Computaciónhttp://creativecommons.org/licenses/by-nc-sa/4.0/http://creativecommons.org/licenses/by-nc-nd/2.5/co/Atribución-NoComercial-SinDerivadas 2.5 Colombiahttp://purl.org/coar/access_right/c_abf2Revista Colombiana de Computación; Vol. 5 Núm. 1 (2004): Revista Colombiana de Computación; 1-12Innovaciones tecnológicasCiencia de los computadoresDesarrollo de tecnologíaIngeniería de sistemasInvestigacionesTecnologías de la información y las comunicacionesTIC´sTechnological innovationsComputer scienceTechnology developmentSystems engineeringInvestigationsInformation and communication technologiesICT'sSoftware architectureWeb usage miningInductive learningKnowledge modelsJ2EEXMLDesarrollo tecnológicoInnovaciones tecnológicasCiencias de la computaciónInvestigaciónTecnología de la información y la comunicaciónArquitectura del softwareMinería de uso de la webAprendizaje inductivoModelos de conocimientoJ2EEXMLMETALA: un marco basado en tecnología J2EE para minería webMETALA: a J2EE technology based framework for web mininginfo:eu-repo/semantics/articleArtículohttp://purl.org/coar/resource_type/c_7a1fhttp://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/redcol/resource_type/CJournalArticlehttp://purl.org/coar/version/c_970fb48d4fbd8a85ORIGINAL2004_Artículo_METALA un marco basado en tecnología J2EE para minería web.pdf2004_Artículo_METALA un marco basado en tecnología J2EE para minería web.pdfArtículoapplication/pdf456813https://repository.unab.edu.co/bitstream/20.500.12749/9039/1/2004_Art%c3%adculo_METALA%20un%20marco%20basado%20en%20tecnolog%c3%ada%20J2EE%20para%20miner%c3%ada%20web.pdfdae981286b25335b95218a69b4639206MD51open accessTHUMBNAIL2004_Artículo_METALA un marco basado en tecnología J2EE para minería web.pdf.jpg2004_Artículo_METALA un marco basado en tecnología J2EE para minería web.pdf.jpgIM Thumbnailimage/jpeg7418https://repository.unab.edu.co/bitstream/20.500.12749/9039/2/2004_Art%c3%adculo_METALA%20un%20marco%20basado%20en%20tecnolog%c3%ada%20J2EE%20para%20miner%c3%ada%20web.pdf.jpg3c21a39496d8459df84d370ad52f1cfdMD52open access20.500.12749/9039oai:repository.unab.edu.co:20.500.12749/90392023-01-13 22:00:24.714open accessRepositorio Institucional \| Universidad Autónoma de Bucaramanga - UNABrepositorio@unab.edu.co

METALA: un marco basado en tecnología J2EE para minería web

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