A data warehouse stores a massive amount of data integrated from data sources, which can reflect the reality of the real world for reporting and analysis purposes, and its tools can be used to discover from the data, the trend or potential direction of developments. Therefore, in application areas such as commerce, health care and monitoring of global changes in the environment and biodiversity, data warehouses are used extensively for the purposes of inquiries, decision making and data mining. The purpose of this book is to present and disseminate the latest developments in data warehousing. The focus is on the most recent research and discoveries, in particular several interesting issues and trends that have emerged in the last few years.
– David Taniar, Monash University, Australia; and Li Chen, LaTrobe University, Australia
Computer scientists from around the world report recent developments in data warehousing, focusing not on the static storage of data, but on how the data can be used to devise or refine business strategies and scientific models. They consider such aspects as a parametrized framework for clustering streams, a hybrid method for mining high-utility item sets in large high-dimensional data, handling the evolution of external data sources in a data warehouse architecture, open source tools for business intelligence, a dynamic and semantically-aware technique for document clustering in biomedical literature, and performance analysis of reliability estimates for regression predictions.
– Book News, Reference - Research Book News - August 2011