Information mining projects management process

Autores
Martins, Sebastián; Pesado, Patricia Mabel; García Martínez, Ramón
Año de publicación
2016
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Information Mining (also known as Knowledge Discovery Process) is a growing discipline in continuous expansion. Most of the progress accomplished, are focus on the development activities (i.e. those technical activities associated with the comprehension and adaptation of data, and the implementation of data mining algorithm). According to this conceptual framework, several process models were developed, which allow organizing and defining the set of tasks related to the development of information mining projects. These approaches omit the set of tasks oriented to the management and control of the process. In this paper, we propose a transversal management process to the development process currently in use in information mining projects. The proposed process focuses on removing existing gaps, providing an improvement on the project's maturity and quality levels.
Instituto de Investigación en Informática
Facultad de Informática
Materia
Ciencias Informáticas
Component
Data mining
Information mining engineering
Knowledge discovery process
Project management of information mining
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/86305

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spelling Information mining projects management processMartins, SebastiánPesado, Patricia MabelGarcía Martínez, RamónCiencias InformáticasComponentData miningInformation mining engineeringKnowledge discovery processProject management of information miningInformation Mining (also known as Knowledge Discovery Process) is a growing discipline in continuous expansion. Most of the progress accomplished, are focus on the development activities (i.e. those technical activities associated with the comprehension and adaptation of data, and the implementation of data mining algorithm). According to this conceptual framework, several process models were developed, which allow organizing and defining the set of tasks related to the development of information mining projects. These approaches omit the set of tasks oriented to the management and control of the process. In this paper, we propose a transversal management process to the development process currently in use in information mining projects. The proposed process focuses on removing existing gaps, providing an improvement on the project's maturity and quality levels.Instituto de Investigación en InformáticaFacultad de Informática2016-07info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf504-509http://sedici.unlp.edu.ar/handle/10915/86305enginfo:eu-repo/semantics/altIdentifier/isbn/189170639X; 9781891706394info:eu-repo/semantics/altIdentifier/issn/2325-9000info:eu-repo/semantics/altIdentifier/doi/10.18293/SEKE2016-009info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:16:50Zoai:sedici.unlp.edu.ar:10915/86305Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:16:50.498SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Information mining projects management process
title Information mining projects management process
spellingShingle Information mining projects management process
Martins, Sebastián
Ciencias Informáticas
Component
Data mining
Information mining engineering
Knowledge discovery process
Project management of information mining
title_short Information mining projects management process
title_full Information mining projects management process
title_fullStr Information mining projects management process
title_full_unstemmed Information mining projects management process
title_sort Information mining projects management process
dc.creator.none.fl_str_mv Martins, Sebastián
Pesado, Patricia Mabel
García Martínez, Ramón
author Martins, Sebastián
author_facet Martins, Sebastián
Pesado, Patricia Mabel
García Martínez, Ramón
author_role author
author2 Pesado, Patricia Mabel
García Martínez, Ramón
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Component
Data mining
Information mining engineering
Knowledge discovery process
Project management of information mining
topic Ciencias Informáticas
Component
Data mining
Information mining engineering
Knowledge discovery process
Project management of information mining
dc.description.none.fl_txt_mv Information Mining (also known as Knowledge Discovery Process) is a growing discipline in continuous expansion. Most of the progress accomplished, are focus on the development activities (i.e. those technical activities associated with the comprehension and adaptation of data, and the implementation of data mining algorithm). According to this conceptual framework, several process models were developed, which allow organizing and defining the set of tasks related to the development of information mining projects. These approaches omit the set of tasks oriented to the management and control of the process. In this paper, we propose a transversal management process to the development process currently in use in information mining projects. The proposed process focuses on removing existing gaps, providing an improvement on the project's maturity and quality levels.
Instituto de Investigación en Informática
Facultad de Informática
description Information Mining (also known as Knowledge Discovery Process) is a growing discipline in continuous expansion. Most of the progress accomplished, are focus on the development activities (i.e. those technical activities associated with the comprehension and adaptation of data, and the implementation of data mining algorithm). According to this conceptual framework, several process models were developed, which allow organizing and defining the set of tasks related to the development of information mining projects. These approaches omit the set of tasks oriented to the management and control of the process. In this paper, we propose a transversal management process to the development process currently in use in information mining projects. The proposed process focuses on removing existing gaps, providing an improvement on the project's maturity and quality levels.
publishDate 2016
dc.date.none.fl_str_mv 2016-07
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info:eu-repo/semantics/publishedVersion
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http://purl.org/coar/resource_type/c_5794
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language eng
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info:eu-repo/semantics/altIdentifier/issn/2325-9000
info:eu-repo/semantics/altIdentifier/doi/10.18293/SEKE2016-009
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
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504-509
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