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
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/86305
Ver los metadatos del registro completo
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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 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion Objeto de conferencia http://purl.org/coar/resource_type/c_5794 info:ar-repo/semantics/documentoDeConferencia |
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http://sedici.unlp.edu.ar/handle/10915/86305 |
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dc.language.none.fl_str_mv |
eng |
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eng |
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openAccess |
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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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application/pdf 504-509 |
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