Web mining for the integration of data mining with business intelligence in web-based decision support systems

dc.contributor.author Domingues,MA en
dc.contributor.author Alípio Jorge en
dc.contributor.author Carlos Manuel Soares en
dc.contributor.author Rezende,SO en
dc.date.accessioned 2017-12-20T18:16:01Z
dc.date.available 2017-12-20T18:16:01Z
dc.date.issued 2014 en
dc.description.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 sy Analysis stem 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. © 2015, IGI Global. en
dc.identifier.uri http://repositorio.inesctec.pt/handle/123456789/4556
dc.identifier.uri http://dx.doi.org/10.4018/978-1-4666-6477-7.ch007 en
dc.language eng en
dc.relation 4981 en
dc.relation 5001 en
dc.rights info:eu-repo/semantics/openAccess en
dc.title Web mining for the integration of data mining with business intelligence in web-based decision support systems en
dc.type bookPart en
dc.type Publication en
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