Integration of Data Mining in Business Intelligence Systems

Integration of Data Mining in Business Intelligence Systems

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)
Indexed In: Clarivate Analytics, SCOPUS View 2 More Indices
Release Date: September, 2014|Copyright: © 2015 |Pages: 314
ISBN13: 9781466664777|ISBN10: 1466664770|EISBN13: 9781466664784|DOI: 10.4018/978-1-4666-6477-7

Description

Uncovering and analyzing data associated with the current business environment is essential in maintaining a competitive edge. As such, making informed decisions based on this data is crucial to managers across industries.

Integration of Data Mining in Business Intelligence Systems investigates the incorporation of data mining into business technologies used in the decision making process. Emphasizing cutting-edge research and relevant concepts in data discovery and analysis, this book is a comprehensive reference source for policymakers, academicians, researchers, students, technology developers, and professionals interested in the application of data mining techniques and practices in business information systems.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Business Analytics
  • Business Information Systems
  • Competitive Intelligence
  • Data Analysis
  • Data Discovery
  • Decision Support Systems
  • Programming Languages

Reviews and Testimonials

Azevedo and Santos present academicians, students, researchers, professionals interested, policymakers, and technology developers with a comprehensive reference investigating the incorporation of data mining techniques and practices in business information technologies used to make decisions. The text is organized in five sections around a variety of related topics, including an overview of the fundamentals and literature associated with data mining, approaches and methodologies for its integration, web and text mining applications, applications in specific domains, and software issues.

– ProtoView Book Abstracts (formerly Book News, Inc.)

Table of Contents and List of Contributors

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Author(s)/Editor(s) Biography

Ana Azevedo is an associate professor in the Information Systems Department, ISCAP/Polytechnic Institute of Porto, Porto, Portugal. She holds a PhD in Information Systems and Technologies, University of Minho, Portugal. She is a researcher in Algoritmi R&D Center, University of Minho, Portugal. Her primary areas of research interests are Decision Support Systems, Data Mining, and Business Intelligence. Her research interests also includes e-Learning. She published several articles in journals, conferences, and book chapters, as well as edited books. She is associate editor of the International Journal of Technology and Human Interaction (IJTHI). She also serves as a regular reviewer for several journals and conferences.
Manuel Filipe Santos holds a PhD in Computer Science – Artificial Intelligence. Currently, he is associate professor in the department of information systems, school of engineering, University of Minho, Portugal. He is the Investigator Responsible in research projects (grid data mining and intelligent decision support systems for intensive care). He is the head of the Intelligent Data Systems group in the R&D Centre Algoritmi. He has around 100 publications in conference proceedings, chapter books, and journals. His main interests are Knowledge Discovery from Databases and Data Mining, Intelligent Decision Support Systems, and Machine Learning.

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