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Web Mining for the Integration of Data Mining with Business Intelligence in Web-Based Decision Support Systems
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Author(s): Marcos Aurélio Domingues (University of São Paulo, Brazil), Alípio Mário Jorge (University of Porto, Portugal), Carlos Soares (University of Porto, Portugal)and Solange Oliveira Rezende (University of São Paulo, Brazil)
Copyright: 2015
Pages: 23
Source title:
Integration of Data Mining in Business Intelligence Systems
Source Author(s)/Editor(s): Ana Azevedo (Algoritmi R&D Center/University of Minho, Portugal & Polytechnic Institute of Porto/ISCAP, Portugal)and Manuel Filipe Santos (Algoritmi R&D Center/University of Minho, Portugal)
DOI: 10.4018/978-1-4666-6477-7.ch007
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Abstract
Web mining can be defined as the use of data mining techniques to automatically discover and extract information from web documents and services. A decision support system is a computer-based information system that supports business or organizational decision-making activities. Data mining and business intelligence techniques can be integrated in order to develop more advanced decision support systems. In this chapter, the authors propose to use web mining as a process to develop advanced decision support systems in order to support the management activities of a website. They describe the web mining process as a sequence of steps for the development of advanced decision support systems. By following such a sequence, the authors can develop advanced decision support systems, which integrate data mining with business intelligence, for websites.
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