Titlebook: Data Warehousing and Knowledge Discovery; 10th International C Il-Yeol Song,Johann Eder,Tho Manh Nguyen Conference proceedings 2008 Springe

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https://doi.org/10.1007/978-3-642-85962-5the fact tables are distributed by an arbitrary number of low-cost computers and the queries are executed in parallel by all the computers, guarantying a nearly optimal speed up and scale up. Data loading in data warehouses is typically a heavy process that gets even more complex when considering di

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Kikuo Fujimura,Tosiyasu L. Kuniistic of the proposed framework consists in adopting an innovative ., which deals with the problem of preserving the privacy of OLAP aggregations rather than the one of data cube cells, like in conventional perturbation-based privacy preserving OLAP techniques. This results in a greater theoretical s

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ICONS and User-Interface Communicationa is to find the total amount of gas sold within a period of time, of certain type of gas, to a certain type of customers, by gas stations located within a query window on a map. A framework has been established in [8], which converts this query into a set of queries for a general-purpose ROLAP syst

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Kikuo Fujimura,Tosiyasu L. Kuniiand change rate of biological data underscore the importance of capturing its evolution. To capture information about our database’s evolution, we incorporate a temporal dimension in our data model, which we implement by means of lifespan timestamps attached to every tuple in the warehouse. This tem

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