Data mining use for learning process design of an information source locator agent

The aim of this work is to present a data mining application to software engineering. We describe the use of data mining in some parts of the design process of a dynamic decision support system agent-based architecture. The main function of this system is to guide information requirements from users...

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Detalles Bibliográficos
Autores principales: Böhm, Christian, Galli, María Rosa, Chiotti, Omar Juan Alfredo
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2002
Materias:
Ciencias Informáticas
información
Learning
DSS
Data mining
learning process
Cases base
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/23157
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-23157
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
información
Learning
DSS
Data mining
learning process
Cases base
spellingShingle Ciencias Informáticas
información
Learning
DSS
Data mining
learning process
Cases base
Böhm, Christian
Galli, María Rosa
Chiotti, Omar Juan Alfredo
Data mining use for learning process design of an information source locator agent
topic_facet Ciencias Informáticas
información
Learning
DSS
Data mining
learning process
Cases base
description The aim of this work is to present a data mining application to software engineering. We describe the use of data mining in some parts of the design process of a dynamic decision support system agent-based architecture. The main function of this system is to guide information requirements from users to the domains that offer greater possibilities of answering them. For that purpose, a strategy is developed, which provides the system with capacity for analyzing an information requirement, and determining to which domains it will be directed. To learn from errors made during its operation, a learning mechanism based in CBR techniques is also proposed. On the one hand, by using data mining techniques it is possible to define a discriminating function to classify the system domains into two groups: those that can probably provide an answer to the information requirement made to the system, and those that cannot. On the other hand, the application of data mining to the cases base allows the specification of rules to settle relationships among the stored cases with the aim of inferring possible causes of error in the domains classification. In this way, a learning mechanism is designed to update the knowledge base and thus improve the already made classification as regards the values assigned to the discriminating function.
format Objeto de conferencia
Objeto de conferencia
author Böhm, Christian
Galli, María Rosa
Chiotti, Omar Juan Alfredo
author_facet Böhm, Christian
Galli, María Rosa
Chiotti, Omar Juan Alfredo
author_sort Böhm, Christian
title Data mining use for learning process design of an information source locator agent
title_short Data mining use for learning process design of an information source locator agent
title_full Data mining use for learning process design of an information source locator agent
title_fullStr Data mining use for learning process design of an information source locator agent
title_full_unstemmed Data mining use for learning process design of an information source locator agent
title_sort data mining use for learning process design of an information source locator agent
publishDate 2002
url http://sedici.unlp.edu.ar/handle/10915/23157
work_keys_str_mv AT bohmchristian datamininguseforlearningprocessdesignofaninformationsourcelocatoragent
AT gallimariarosa datamininguseforlearningprocessdesignofaninformationsourcelocatoragent
AT chiottiomarjuanalfredo datamininguseforlearningprocessdesignofaninformationsourcelocatoragent
bdutipo_str Repositorios
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