White Papers

Methodology for Railway Demand Forecasting Using Data Mining

Category: Data Management, Software and Web Development

Overview After the organization to resolve its operational problems, comes the necessity for systems to support decision making. The research area data mining grows quickly to take care of these new necessities. However, the use of data mining techniques becomes difficult due to the lack of a complete and systematic methodology for the knowledge discovery in database. This paper presents a model of the formal process of development of systems of discovery of knowledge in database for the prediction of railroad demand that includes a systematic and rigorous methodology, which integrates the methodologies: CRISP-DM, SEMMA, FAYYAD, and an interactive environment for the implementation of these systems.

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Publisher: SAS Institute
File Format: PDF
Date Published: Jun 2, 2007
Format: White Papers
Topics: Programming Languages, Data Mining - Analysis

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