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• W2360141695 abstract "Efficient processing of expensive queries that include joins and/or aggregate functions is crucial in data warehousing environment since there reside enormous volume of data. In this paper, we propose a new method for processing of queries that have both of joins and aggregate functions. The proposed method first performs grouping of the dimension table and then processes join by using the bitmap join index. This makes only the fact table accessed for processing aggregate functions, and thus resolves the serious performance degradation of the existing method. For showing the superiority of the proposed method, we suggest the cost models for the proposed and existing ones, and perform extensive simulations based on the TPC-H benchmark." @default.
• W2360141695 created "2016-06-24" @default.
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• W2360141695 date "2002-01-01" @default.
• W2360141695 modified "2023-09-23" @default.
• W2360141695 title "Efficient Processin of Queries with Joints and Aggregate Functions in ROLAP Data Warehousing Environment" @default.
• W2360141695 hasPublicationYear "2002" @default.
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