Complex Data Warehousing and Knowledge Discovery for Advanced Retrieval Development
Innovative Methods and Applications
Published on 31. July 2009
Book
Hardback
307 pages
978-1-60566-748-5 (ISBN)
Description
Recently, researchers have gained innovative principles, methods, algorithms, and solutions to challenging problems faced in the development of data warehousing, knowledge discovery, and data mining applications. Complex Data Warehousing and Knowledge Discovery for Advanced Retrieval Development: Innovative Methods and Applications provides a comprehensive analysis on current issues and trends in retrieval expansion. Containing research from leading international experts, this book presents future challenges and opportunities in the field valuable to academicians, researchers, and practitioners.
More details
Language
English
Place of publication
Hershey
United States
Publishing group
IGI Global
Target group
College/higher education
Professional and scholarly
Illustrations
Illustrations
Dimensions
Height: 286 mm
Width: 221 mm
Thickness: 27 mm
Weight
1325 gr
ISBN-13
978-1-60566-748-5 (9781605667485)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Person
Tho Manh Nguyen received his PhD in information systems from the Vienna University of Technology (September 2005) and currently keeps a postdoctoral research fellowship. He has been awarded Microsoft Student Travel Awards, IBM Europe Student Event Recognition and Outstanding Student Award; Best Paper Award at the 4th IEEE International Conference On Computer Sciences Research; and Best Paper Award at the Information Resources Management Association (IRMA) International Conference (2007). He is a PC member and organizer of many international conferences and workshops such as DaWaK, DAWAM, ARES, SIIK, and CONFENIS and has several publications in international conference proceedings and journals in the field of data warehousing and knowledge discovery. His research interests include data warehousing, data mining and knowledge discovery, business intelligence systems, grid-based knowledge discovery, service-oriented computing, ontology, and semantic management.
Content
Calendar-based pattern mining Cost-sensitive decision trees Data mining techniques Data warehousing systems Decisional annotations Deploying data warehouses in grids Encrypted network streams Federated data warehouses Multidimensional systems OLAP databases Ranking gradients in multi-dimensional spaces Scalable indexing and storage Spatial data warehouses