Results 201 to 210 of about 27,829 (236)
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Proceedings of the 2010 ACM SIGMOD International Conference on Management of data, 2010
The Sequence OLAP (S-OLAP) system is a novel online analytical processing system for analyzing sequence data. S-OLAP supports "pattern-based" grouping and aggregation on sequence data - a very powerful concept and capability that is not supported by traditional OLAP systems.
Kao, B, Cheung, D, Chui, CK, Lo, E
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The Sequence OLAP (S-OLAP) system is a novel online analytical processing system for analyzing sequence data. S-OLAP supports "pattern-based" grouping and aggregation on sequence data - a very powerful concept and capability that is not supported by traditional OLAP systems.
Kao, B, Cheung, D, Chui, CK, Lo, E
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Proceedings of the ACM tenth international workshop on Data warehousing and OLAP, 2007
Sequenced queries are queries that are conceptually evaluated at each time instant. Therefore, this kind of queries return functions of time. Some applications (e.g., traffic analysis) need support for sequenced queries on data about continuous changes. Current temporal OLAP technology does not support this type of queries.
Eilverijus Kondratas, Igor Timko
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Sequenced queries are queries that are conceptually evaluated at each time instant. Therefore, this kind of queries return functions of time. Some applications (e.g., traffic analysis) need support for sequenced queries on data about continuous changes. Current temporal OLAP technology does not support this type of queries.
Eilverijus Kondratas, Igor Timko
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2009
Online Analytical Processing on XML became a topic in the database research community, which is mostly due to the possibilities of XML to overcome the constraints of the relational multidimensional model. This pager gives an overview of changes and challenges in terms of storing multidimensional heterogeneous data in XML and how to query it.
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Online Analytical Processing on XML became a topic in the database research community, which is mostly due to the possibilities of XML to overcome the constraints of the relational multidimensional model. This pager gives an overview of changes and challenges in terms of storing multidimensional heterogeneous data in XML and how to query it.
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Proceedings of the 2011 ACM SIGMOD International Conference on Management of data, 2011
We introduce a novel class of data cube, called latent-variable cube. For many data analysis tasks, data in a database can be represented as points in a multi-dimensional space. Ordinary data cubes compute aggregate functions over these "observed" data points for each cell (i.e., region) in the space, where the cells have different granularities ...
Deepak Agarwal, Bee-Chung Chen
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We introduce a novel class of data cube, called latent-variable cube. For many data analysis tasks, data in a database can be represented as points in a multi-dimensional space. Ordinary data cubes compute aggregate functions over these "observed" data points for each cell (i.e., region) in the space, where the cells have different granularities ...
Deepak Agarwal, Bee-Chung Chen
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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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