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MANAGING LARGE COLLECTIONS OF DATA MINING MODELS.

This article provides information on managing large collections of data mining models for data analysts. Discussed is the traditional method of aggregating the data into large segments, then using domain knowledge combined with "intelligent" model-building methods to produce models. In this study re...

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Publicado en:Communications of the ACM Vol. 51; no. 2; pp. 85 - 90
Autores principales: Bing Liu, Tuzhilin, Alexander
Formato: Artículo
Publicado: Association for Computing Machinery Feb2008
Materias:
Data mining
Data modeling
Computer simulation
Data analysis
Software engineering
Model-integrated computing
Acceso en línea:Ver este registro en EBSCOhost
Sumario:This article provides information on managing large collections of data mining models for data analysts. Discussed is the traditional method of aggregating the data into large segments, then using domain knowledge combined with "intelligent" model-building methods to produce models. In this study researchers want to make the argument that a generic model-management system is needed to facilitate large-scale model building applications. The researchers also want to identify the main issues and problems of model management and set up a research agenda.