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EIS for Consumers Classification and Support Decision Making in a Power Utility Database
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Author(s): Juan Ignacio Guerrero Alonso (Department of Electronic Technology, University of Seville, Spain), Carlos León de Mora (Department of Electronic Technology, University of Seville, Spain), Félix Biscarri Triviño (Department of Electronic Technology, University of Seville, Spain), Iñigo Monedero Goicoechea (Department of Electronic Technology, University of Seville, Spain), Jesús Biscarri Triviño (Department of Electronic Technology, University of Seville, Spain)and Rocío Millán (University of Seville, Spain)
Copyright: 2011
Pages: 15
Source title:
Enterprise Information Systems: Concepts, Methodologies, Tools and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-61692-852-0.ch209
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Abstract
The increasing of the storage system capacity and the reduction of the access time have allowed the development of new technologies which have afforded solutions for the automatic treatment of great databases. In this chapter a methodology to create Enterprise Information Systems which are capable of using all information available about customers is proposed. As example of utilization of this methodology, an Enterprise Information System for classification of customer problems is proposed. This EIS implements several technologies. Data Warehousing and Data Mining are two technologies which can analyze automatically corporative databases. Integration of these two technologies is proposed by the present work together with a rule based expert system to classify the utility consumption through the information stored in corporative databases.
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