Efficacious Data Cube Exploration by Semantic Summarization and Compression
This chapter discusses the efficacious data cube exploration by semantic summarization and compression. Data cube is the core operator in data warehousing and online analytical processing (OLAP). Its efficient computation, maintenance, and utilization for query answering and advanced analysis have been the subjects of numerous studies. Data warehouses form the essential infrastructure for many data analysis tasks. A data warehouse is a subject-oriented, integrated, time-variant, and non-volatile collection of data in support of managemental decision-making processes. A core operation in a data warehouse is the construction of a data cube, which can be viewed as a multi-level, multidimensional database with aggregate data at multiple granularities.
