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Privacy Preserving OLAP and OLAP Security
2009The problem of ensuring the privacy and security of OLAP data cubes (Gray et al., 1997) arises in several fields ranging from advanced Data Warehousing (DW) and Business Intelligence (BI) systems to sophisticated Data Mining (DM) tools. In DW and BI systems, decision making analysts aim at avoiding that malicious users access perceptive ranges of ...
CUZZOCREA A, V. RUSSO
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Proceedings of the ACM tenth international workshop on Data warehousing and OLAP, 2007
Expressing preferences when querying databases is a natural way to avoid empty results and information flooding, and in general to rank results so that the user may first see the data that better match his tastes. In this paper we outline the main research issues to be faced in order to develop a system for handling user preferences on OLAP cubes.
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Expressing preferences when querying databases is a natural way to avoid empty results and information flooding, and in general to rank results so that the user may first see the data that better match his tastes. In this paper we outline the main research issues to be faced in order to develop a system for handling user preferences on OLAP cubes.
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Proceedings of the fifteenth international workshop on Data warehousing and OLAP, 2012
As information continues to grow at an explosive rate, more and more heterogeneous network data sources are coming into being. While OLAP (On-Line Analytical Processing) techniques have been proven effective for analyzing and mining structured data, unfortunately, to our best knowledge, there are no OLAP tools available that are able to analyze multi ...
Mu Yin, Bin Wu, Zengfeng Zeng
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As information continues to grow at an explosive rate, more and more heterogeneous network data sources are coming into being. While OLAP (On-Line Analytical Processing) techniques have been proven effective for analyzing and mining structured data, unfortunately, to our best knowledge, there are no OLAP tools available that are able to analyze multi ...
Mu Yin, Bin Wu, Zengfeng Zeng
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Data & Knowledge Engineering, 2009
Udgivelsesdato: May ...
Pedersen, Torben Bach +3 more
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Udgivelsesdato: May ...
Pedersen, Torben Bach +3 more
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Hand-OLAP: a system for delivering OLAP services on handheld devices
The Sixth International Symposium on Autonomous Decentralized Systems, 2003. ISADS 2003., 2003-
Cuzzocrea, A. +2 more
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2009
The problem of efficiently visualizing multidimensional data sets produced by scientific and statistical tasks/ processes is becoming increasingly challenging, and is attracting the attention of a wide multidisciplinary community of researchers and practitioners.
CUZZOCREA A, S. MANSMANN
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The problem of efficiently visualizing multidimensional data sets produced by scientific and statistical tasks/ processes is becoming increasingly challenging, and is attracting the attention of a wide multidisciplinary community of researchers and practitioners.
CUZZOCREA A, S. MANSMANN
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2015
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?????????????????????? ?????????????????????????? ?????????????????? ?????????????????????????????????????? ???????????????????? ?? ?????????????? ???????????????????????????? ?????????????????????? ???????????????????????????? ????????????????????, ???????????????????????? ?????????????????? ?????????????????????? Data Mining ?? Text Mining. ??????????
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Proceedings of the 2005 ACM SIGMOD international conference on Management of data, 2005
We present techniques for privacy-preserving computation of multidimensional aggregates on data partitioned across multiple clients. Data from different clients is perturbed (randomized) in order to preserve privacy before it is integrated at the server. We develop formal notions of privacy obtained from data perturbation and show that our perturbation
Rakesh Agrawal +2 more
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We present techniques for privacy-preserving computation of multidimensional aggregates on data partitioned across multiple clients. Data from different clients is perturbed (randomized) in order to preserve privacy before it is integrated at the server. We develop formal notions of privacy obtained from data perturbation and show that our perturbation
Rakesh Agrawal +2 more
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