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• W184089714 abstract "In an Object Relational Data Warehousing (ORDW) environment, the semantics of data and queries can be explicitly captured, represented, and utilized based on is-a and class composition hierarchies, thereby resulting in more efficient OLAP query processing. In this paper, we show the efficacy in building semantic-rich hybrid class partitions by incorporating the Associated Horizontal Class Partitioning (AHCP) technique on the ORDW schema. Given a set of queries, we use primary and derived partitioning algorithms to select (near) optimal AHCPs, thereby embedding query semantics into the partitioned framework. Finally, by a cost model, we analyze the effectiveness of our approach visa-vis the unpartitioned approach." @default.
• W184089714 created "2016-06-24" @default.
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• W184089714 date "2000-01-01" @default.
• W184089714 modified "2023-09-27" @default.
• W184089714 title "Efficient Query Processing with Associated Horizontal Class Partitioning in an Object Relational Data Warehousing Environment" @default.
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