The design and use of the TMiner component-based data mining framework

Authors:
Fernando Berzal;Juan-Carlos Cubero;Aída Jiménez
Affiliations:
IDBIS Research Group, Department of Computer Science and Artificial Intelligence, ETSIIT, University of Granada, Granada 18071, Spain;IDBIS Research Group, Department of Computer Science and Artificial Intelligence, ETSIIT, University of Granada, Granada 18071, Spain;IDBIS Research Group, Department of Computer Science and Artificial Intelligence, ETSIIT, University of Granada, Granada 18071, Spain
Venue:
Expert Systems with Applications: An International Journal
Year:
2009

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Abstract

This paper provides some practical guidelines for the design of data mining frameworks. It describes the rationale behind some of the key design decisions that guided the design, development, and implementation of the TMiner component-based data mining framework. TMiner is a flexible framework that can be used as a stand-alone tool or integrated into larger business intelligence (BI) solutions. TMiner is a general-purpose component-based system designed to support the whole KDD process into a single framework and thus facilitate the implementation of complex data mining scenarios.