Description
As information technology continues to advance in massive increments, the bank of information available from personal, financial, and business electronic transactions and all other electronic documentation and data storage is growing at an exponential rate. With this wealth of information comes the opportunity and necessity to utilize this information to maintain competitive advantage and process information effectively in real-world situations.
Data Mining and Knowledge Discovery Technologies presents researchers and practitioners in fields such as knowledge management, information science, Web engineering, and medical informatics, with comprehensive, innovative research on data mining methods, structures, tools, and methods, the knowledge discovery process, and data marts, among many other cutting-edge topics.
Reviews and Testimonials
This volume covers important foundations to researches and applications in data mining, covering association rules, clustering, and classification, as well as new directions in domain driven and model free data mining.
– David Taniar, Monash University, Australia
...chapters in this collection propose association rules for multidimensional data, XML data, web data, and interestingness measures.
– Books News Inc. (2008)
Author's/Editor's Biography
David Taniar (Ed.)
David Taniar received his PhD in Databases from Victoria University (Australia, 1997) and is now a Senior Lecturer at Monash University (Australia). He has published more than 100 research articles and edited a number of books in the Web technology series. He is on the editorial board of a number of international journals, including
Data Warehousing and Mining,
Business Intelligence and Data Mining,
Mobile Information Systems,
Mobile Multimedia,
Web Information Systems, and
Web and Grid Services. He has been elected as a Fellow of the Institute for Management of Information Systems (UK).