Integration of Data Mining in Business Intelligence Systems

Azevedo, Ana

Sept 2014 · IGI Global

About this eBook

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.

About the author

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. [Editor]