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

• Type: Chapter or Part of a Book
• Date: 2014

Authors

Marcos Aurélio Domingues (Author) Other; Alípio M. Jorge (Author) FCUP; Carlos Soares (Author) FEUP; Solange Oliveira Rezende (Author) Other

Book

Title: Integration of Data Mining in Business Intelligence Systems

Pages: 120-142

ISBN: 978-146666477-7

Electronic ISBN: 978-146666478-4

Indexing

Scopus - 2 Citations

Scientific classification

CORDIS: Physical sciences > Computer science > Cybernetics > Artificial intelligence

FOS: Natural sciences > Computer and information sciences

Other information

Authenticus ID: P-00G-TXY

DOI: 10.4018/978-1-4666-6477-7.ch007

Abstract (EN): 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 23