Recent technological advancements in data warehousing have been contributing to the emergence of business intelligence useful for managerial decision making.
Progressive Methods in Data Warehousing and Business Intelligence: Concepts and Competitive Analytics presents the latest trends, studies, and developments in business intelligence and data warehousing contributed by experts from around the globe. Consisting of four main sections, this book covers crucial topics within the field such as OLAP and patterns, spatio-temporal data warehousing, and benchmarking of the subject.
Author(s): David Taniar, David Taniar
Series: Advances in Data Warehousing and Mining
Edition: 1
Publisher: Information Science Reference
Year: 2009
Language: English
Commentary: 36913
Pages: 390
Title......Page 2
Table of Contents......Page 6
Detailed Table of Contents......Page 9
Preface......Page 17
Development of Data Warehouse Conceptual Models: Method Engineering Approach......Page 22
Conceptual Modeling Solutions for the Data Warehouse......Page 45
A Machine Learning Approach to Data Cleaning in Databases and Data Warehouses......Page 64
Interactive Quality-Oriented Data Warehouse Development......Page 80
Integrated Business and Production Process Data Warehousing......Page 109
Selecting and Allocating Cubes in Multi-Node OLAP Systems: An Evolutionary Approach......Page 120
Swarm Quant’ Intelligence for Optimizing Multi-Node OLAP Systems......Page 153
Multidimensional Anlaysis of XML Document Contents with OLAP Dimensions......Page 176
A Multidimensional Pattern Based Approach for the Design of Data Marts......Page 193
A Multidimensional Methodology with Support for Spatio-Temporal Multigranularity in the Conceptual and Logical Phases......Page 215
Methodology for Improving Data Warehouse Design Using Data Sources Temporal Metadata......Page 252
Using Active Rules to Maintain Data Consistency in Data Warehouse Systems......Page 273
Distributed Approach to Continuous Queries with kNN Join Processing in Spatial Telemetric Data Warehouse......Page 294
Spatial Data Warehouse Modelling......Page 303
Data Warehouse Benchmarking with DWEB......Page 323
Analyses and Evaluation of Responses to Slowly Changing Dimensions in Data Warehouses......Page 345
Compilation of References......Page 359
About the Contributors......Page 382
Index......Page 388