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Da: Biblios, Frankfurt am main, HESSE, Germania
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Aggiungi al carrelloCondizione: New. pp. 198.
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Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
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EUR 69,71
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EUR 83,60
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Aggiungi al carrelloCondizione: New. -First book that concentrates solely on OLAP systems-Includes Lattice-Based Inference Control Method-Discusses methods that can be implemented on the basis of emph(three-Tier) Inference control model in OLAP systemsThis book addr.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 151,56
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Aggiungi al carrelloBuch. Condizione: Neu. Neuware - Preserving Privacy for On-Line Analytical Processing addresses the privacy issue of On-Line Analytic Processing (OLAP) systems. OLAP systems usually need to meet two conflicting goals. First, the sensitive data stored in underlying data warehouses must be kept secret. Second, analytical queries about the data must be allowed for decision support purposes. The main challenge is that sensitive data can be inferred from answers to seemingly innocent aggregations of the data. This volume reviews a series of methods that can precisely answer data cube-style OLAP, regarding sensitive data while provably preventing adversaries from inferring data.Preserving Privacy for On-Line Analytical Processing is appropriate for practitioners in industry as well as graduate-level students in computer science and engineering.