Knowledge discovery based on computational taxonomy and intelligent data mining

This study investigates an approach of knowledge discovery and data mining in insufficient databases. An application of Computational Taxonomy analysis demonstrates that the approach is effective in such a data mining process. The approach is characterized by the use of both the second type of domai...

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Detalles Bibliográficos
Autores principales: Perichinsky, Gregorio, García Martínez, Ramón, Proto, Araceli
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2000
Materias:
Ciencias Informáticas
Data mining
Clustering
knowledge discovery
insufficient database
taxonomy
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/23755
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-23755
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
Data mining
Clustering
knowledge discovery
insufficient database
taxonomy
spellingShingle Ciencias Informáticas
Data mining
Clustering
knowledge discovery
insufficient database
taxonomy
Perichinsky, Gregorio
García Martínez, Ramón
Proto, Araceli
Knowledge discovery based on computational taxonomy and intelligent data mining
topic_facet Ciencias Informáticas
Data mining
Clustering
knowledge discovery
insufficient database
taxonomy
description This study investigates an approach of knowledge discovery and data mining in insufficient databases. An application of Computational Taxonomy analysis demonstrates that the approach is effective in such a data mining process. The approach is characterized by the use of both the second type of domain knowledge and visualization. This type of knowledge is newly defined in this study and deduced from supposition about background situations of the domain. The supposition is triggered by strong intuition about the extracted features in a recurrent process of data mining. This type of domain knowledge is useful not only for discovering interesting knowledge but also for guiding the subsequent search for more explicit and interesting knowledge. The visualization is very useful for triggering the supposition.
format Objeto de conferencia
Objeto de conferencia
author Perichinsky, Gregorio
García Martínez, Ramón
Proto, Araceli
author_facet Perichinsky, Gregorio
García Martínez, Ramón
Proto, Araceli
author_sort Perichinsky, Gregorio
title Knowledge discovery based on computational taxonomy and intelligent data mining
title_short Knowledge discovery based on computational taxonomy and intelligent data mining
title_full Knowledge discovery based on computational taxonomy and intelligent data mining
title_fullStr Knowledge discovery based on computational taxonomy and intelligent data mining
title_full_unstemmed Knowledge discovery based on computational taxonomy and intelligent data mining
title_sort knowledge discovery based on computational taxonomy and intelligent data mining
publishDate 2000
url http://sedici.unlp.edu.ar/handle/10915/23755
work_keys_str_mv AT perichinskygregorio knowledgediscoverybasedoncomputationaltaxonomyandintelligentdatamining
AT garciamartinezramon knowledgediscoverybasedoncomputationaltaxonomyandintelligentdatamining
AT protoaraceli knowledgediscoverybasedoncomputationaltaxonomyandintelligentdatamining
bdutipo_str Repositorios
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