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Implementing data cubes efficiently
Proceedings of the 1996 ACM SIGMOD international conference on Management of data - SIGMOD '96, 1996Decision support applications involve complex queries on very large databases. Since response times should be small, query optimization is critical. Users typically view the data as multidimensional data cubes. Each cell of the data cube is a view consisting of an aggregation of interest, like total sales.
Venky Harinarayan +2 more
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Proceedings of the VLDB Endowment, 2022
This paper introduces an approach to supporting high-dimensional data cubes at interactive query speeds and moderate storage cost. The approach is based on binary(-domain) data cubes that are judiciously partially materialized; the missing information can be quickly reconstructed using statistical or linear programming techniques.
Sachin Basil John, Christoph Koch
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This paper introduces an approach to supporting high-dimensional data cubes at interactive query speeds and moderate storage cost. The approach is based on binary(-domain) data cubes that are judiciously partially materialized; the missing information can be quickly reconstructed using statistical or linear programming techniques.
Sachin Basil John, Christoph Koch
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Journal of Shanghai Jiaotong University (Science), 2009
We propose a robust watermarking scheme and several extensions for digital right management of data cubes. The ownership information is hidden into a data cube by modifying a set of selected cell values. Its owner can use his private key to control all the watermarking parameters freely.
Jie Guo, Wei-dong Qi
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We propose a robust watermarking scheme and several extensions for digital right management of data cubes. The ownership information is hidden into a data cube by modifying a set of selected cell values. Its owner can use his private key to control all the watermarking parameters freely.
Jie Guo, Wei-dong Qi
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Differentially private data cubes
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data, 2011Data cubes play an essential role in data analysis and decision support. In a data cube, data from a fact table is aggregated on subsets of the table's dimensions, forming a collection of smaller tables called cuboids. When the fact table includes sensitive data such as salary or diagnosis, publishing even a subset of its cuboids may compromise ...
Bolin Ding +3 more
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Efficient Data Cube Materialization
2020In the field of business intelligence, we require the analysis of multidimensional data with the need for it being fast and interactive. Data warehousing and OLAP approaches have been developed for this purpose in which the data is viewed in the form of a multidimensional data cube which allows interactive analysis of the data in various levels of ...
Raghu Prashant +2 more
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2001 International Conferences on Info-Tech and Info-Net. Proceedings (Cat. No.01EX479), 2002
This paper focuses on modeling the evolution of data for a data warehouse. Digging into the World Wide Web to find behind-the-browser information and to manage this semi-structured data are challenges, and a data warehouse is a good solution to provide an exclusive business environment for mass data storage and management.
null Xiao-ling Wang, null Yi-sheng Dong
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This paper focuses on modeling the evolution of data for a data warehouse. Digging into the World Wide Web to find behind-the-browser information and to manage this semi-structured data are challenges, and a data warehouse is a good solution to provide an exclusive business environment for mass data storage and management.
null Xiao-ling Wang, null Yi-sheng Dong
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1999
Nested data cubes (NDCs in short) are a generalization of other OLAP models such as f-tables [4] and hypercubes [2], but also of classical structures as sets, bags, and relations. This model adds to the previous models flexibility in viewing the data, in that it allows for the assignment of priorities to the different dimensions of the multidimensional
Dekeyser, S. +3 more
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Nested data cubes (NDCs in short) are a generalization of other OLAP models such as f-tables [4] and hypercubes [2], but also of classical structures as sets, bags, and relations. This model adds to the previous models flexibility in viewing the data, in that it allows for the assignment of priorities to the different dimensions of the multidimensional
Dekeyser, S. +3 more
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Proceedings of the 18th International Academic MindTrek Conference: Media Business, Management, Content & Services, 2014
With the increasing availability of semantic data on the World Wide Web and its reutilization for commercial purposes, questions arise about the economic value of interlinked data and business models that can be built on top of it. This paper introduces the Linked Data Business Cube, a systematic approach to model and analyze business models for Linked
Tassilo Pellegrini +2 more
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With the increasing availability of semantic data on the World Wide Web and its reutilization for commercial purposes, questions arise about the economic value of interlinked data and business models that can be built on top of it. This paper introduces the Linked Data Business Cube, a systematic approach to model and analyze business models for Linked
Tassilo Pellegrini +2 more
openaire +1 more source