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- W200399860 abstract "The problem addressed in this research, namely the vertical fragmentation problem (VFP), arises inthe context of data warehouse design, when trying to minimize the system average query responsetime. It is a combinatorial optimization problem of significant actual interest which has so far receivedlittle attention from the optimization community. This paper describes the application of the ANTSapproach, a variant of the Ant Colony Optimization (ACO) paradigm, to the VFP.Data warehouses are primary commodities in the current software market, supporting the transforma-tion of huge volumes of data into actionable business information, improving targeted marketing andbusiness process re-engineering for customer value management. A data warehouse permits to retrievesummary data, derived from those present in operational information systems. Fundamental issues areflexible query interface and fast query response.Thedesignofadatawarehousestartswiththeidentificationofrelevantdatainthecompanyinformationsystem; these data must be integrated, reorganized and possibly aggregated in order to be of effectiveuse. Afterthat, conceptual, logicalandphysicaldesignphasesareencompassed. Theproblemaddressedin this paper belongs to logical design and has the objective of minimizing the query response timeby reducing the number of disk pages to be accessed. This may be obtained by defining appropriatetables of aggregated data (" @default.
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- W200399860 date "2001-01-01" @default.
- W200399860 modified "2023-09-27" @default.
- W200399860 title "ANTS for Data Warehouse Logical Design" @default.
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