Enhancing OLAP functionality using self-organizing neural networks
Neural, Parallel & Scientific Computations - Special issue: Computing intelligence in management
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Data Warehouse (DW) is a rapidly developing field of both application and research. Up to now, three types of data warehouse have been proposed, which include centralized DW, data mart, and distributed DW. In this paper, a new type of data warehouse, which is called hierarchically distributed data warehouse (HDDW), is developed based on a DW building case. HDDW-oriented OLAP is also studied and C/S architecture for OLAP of HDDW is given.