Results 271 to 280 of about 70,218 (315)
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2000
Range sum queries on data cubes are a powerful tool for analysis. A range sum query applies an aggregation operation (e.g., SUM, AVERAGE) over all selected cells in a data cube, where the selection is specified by providing ranges of values for numeric dimensions.
Steven Geffner +2 more
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Range sum queries on data cubes are a powerful tool for analysis. A range sum query applies an aggregation operation (e.g., SUM, AVERAGE) over all selected cells in a data cube, where the selection is specified by providing ranges of values for numeric dimensions.
Steven Geffner +2 more
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Materialization of data cube in flash memory based on condensed data cube
2011 International Conference on Electrical and Control Engineering, 2011In On-Line Analytical Processing applications, we can shorten the query response time and increase the efficiency of online analytical processing by the implementation of the memory data cube or other methods. According to the specific characteristics of NAND flash memory, combined with condensed data cube tuple storage characteristics and the three ...
Wenyue Yan +3 more
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ACM Transactions on Database Systems
We introduce an approach to supporting high-dimensional data cubes at interactive query speeds and moderate storage cost. Our approach is based on binary(-domain) data cubes that are judiciously partially materialized; the missing information can be quickly approximated using statistical or linear programming techniques.
Sachin Basil John +2 more
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We introduce an approach to supporting high-dimensional data cubes at interactive query speeds and moderate storage cost. Our approach is based on binary(-domain) data cubes that are judiciously partially materialized; the missing information can be quickly approximated using statistical or linear programming techniques.
Sachin Basil John +2 more
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Range cube: efficient cube computation by exploiting data correlation
Proceedings. 20th International Conference on Data Engineering, 2004Data cube computation and representation are prohibitively expensive in terms of time and space. Prior work has focused on either reducing the computation time or condensing the representation of a data cube. We introduce range cubing as an efficient way to compute and compress the data cube without any loss of precision.
null Ying Feng +3 more
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Dynamic Multidimensional Data Cubes
2003Data cubes are ubiquitous tools in data warehousing, online analytical processing, and decision support applications. Based on a selection of pre-computed and materialized aggregate values, they can dramatically speed up aggregation and summarization over large data collections.
Mirek Riedewald +2 more
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Condensed cube: an effective approach to reducing data cube size
Proceedings 18th International Conference on Data Engineering, 2003Pre-computed data cube facilitates OLAP (on-line analytical processing). It is well-known that data cube computation is an expensive operation. While most algorithms have been devoted to optimizing memory management and reducing computation costs, less work has addressed a fundamental issue: the size of a data cube is huge when a large base relation ...
null Wei Wang +3 more
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Extracting semantics from data cubes using cube transversals and closures
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '03, 2003In this paper we propose a lattice-based approach intended for extracting semantics from datacubes: borders of version spaces for supervised classification, closed cube lattice to summarize the semantics of datacubes w.r.t. COUNT, SUM, and covering graph of the quotient cube as a visualization tool of minimal multidimensional associations.
Alain Casali +2 more
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Data Cube Compression Techniques
2009OnLine Analytical Processing (OLAP) research issues (Gray, Chaudhuri, Bosworth, Layman, Reichart & Venkatrao, 1997) such as data cube modeling, representation, indexing and management have traditionally attracted a lot of attention from the Data Warehousing research community.
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Relationships in semantic data cubes
2020<p><span>Linked data is a method for publishing structured data in a way that </span>also expresses its semantics. This semantic description is implemented <span>by the use of vocabularies, which are usually specified by the W3C as web standards.
Alexandr Mansurov, Olga Majlingova
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