Novel Techniques for Data Warehousing and Online Analytical Processing in Emerging Applications

A data warehouse is a collection of data for supporting of decision making process. Data cubes and On-Line Analytical Processing (OLAP) have become very popular techniques to help users analyze data in a warehouse. Even though previous studies on a data warehouse and data cube have been proposed and developed, as new applications emerging, there are still technical challenges which have not been addressed well. The authors propose effective and efficient solutions to the challenging problems in the areas of mining iceberg cube from multiple tables, online answering ad-hoc aggregate queries on data streams, and warehousing pattern-based clusters.