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Implementing data cubes efficiently
 In SIGMOD
, 1996
"... Decision 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 ..."
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Cited by 541 (1 self)
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Decision 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
Data cube: A relational aggregation operator generalizing groupby, crosstab, and subtotals
, 1996
"... Abstract. Data analysis applications typically aggregate data across many dimensions looking for anomalies or unusual patterns. The SQL aggregate functions and the GROUP BY operator produce zerodimensional or onedimensional aggregates. Applications need the Ndimensional generalization of these op ..."
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Cited by 846 (9 self)
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of these operators. This paper defines that operator, called the data cube or simply cube. The cube operator generalizes the histogram, crosstabulation, rollup, drilldown, and subtotal constructs found in most report writers. The novelty is that cubes are relations. Consequently, the cube operator can be imbedded
The Dynamic Data Cube
, 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. We present the Dynamic Data Cube, a ..."
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Cited by 70 (6 self)
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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. We present the Dynamic Data Cube
The Computation of Semantic Data Cube
"... Abstract. The multidimensional analysis based on data cube has been growing interest. However existing data cube model usually does not have the semantics of attributes and hence the analysis usually provides results with raw numbers and ignores the real meanings of these numbers. An example result ..."
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Abstract. The multidimensional analysis based on data cube has been growing interest. However existing data cube model usually does not have the semantics of attributes and hence the analysis usually provides results with raw numbers and ignores the real meanings of these numbers. An example result
The Iterative Data Cube
"... . Data cubes provide aggregate information to support the analysis of the contents of data warehouses and databases. An important tool to analyze data in data cubes is the range query. For range queries that summarize large regions of massive data cubes, computing the query result onthefly can ..."
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. Data cubes provide aggregate information to support the analysis of the contents of data warehouses and databases. An important tool to analyze data in data cubes is the range query. For range queries that summarize large regions of massive data cubes, computing the query result onthefly can
Nested Data Cubes for OLAP
 LNCS 1552, Advances in Database Technologies
, 1998
"... We present a new model for OLAP, called the nested data cube (NDC) model. Nested data cubes are a generalization of other OLAP models such as ftables [3], and hypercubes [2], but also of classical structures such as sets, bags, and relations. The model we propose adds to the previous models mainly ..."
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Cited by 5 (1 self)
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We present a new model for OLAP, called the nested data cube (NDC) model. Nested data cubes are a generalization of other OLAP models such as ftables [3], and hypercubes [2], but also of classical structures such as sets, bags, and relations. The model we propose adds to the previous models
Range Queries in OLAP Data Cubes
 In Proceedings of the 1997 ACM SIGMOD International Conference on Management of Data
, 1997
"... A range query applies an aggregation operation over all selected cells of an OLAP data cube where the selection is specified by providing ranges of values for numeric dimensions. We present fast algorithms for range queries for two types of aggregation operations: SUM and MAX. These two operations c ..."
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Cited by 63 (1 self)
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A range query applies an aggregation operation over all selected cells of an OLAP data cube where the selection is specified by providing ranges of values for numeric dimensions. We present fast algorithms for range queries for two types of aggregation operations: SUM and MAX. These two operations
Optimization in Data Cube System Design
, 2004
"... The design of an OLAP system for supporting realtime queries is one of the major research issues. One approach is to use data cubes, which are materialized precomputed multidimensional views of data in a data warehouse. We can derive a set of data cubes to answer each frequently asked query direc ..."
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Cited by 2 (0 self)
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The design of an OLAP system for supporting realtime queries is one of the major research issues. One approach is to use data cubes, which are materialized precomputed multidimensional views of data in a data warehouse. We can derive a set of data cubes to answer each frequently asked query
Data Cube Representation for Vehicle Insurance
"... OnLine Analytical Processing (OLAP) systems have a strong focus on the interactive analysis of data and typically provide extensive capabilities for visualizing the data and generating summary statistics. Most of the data sets can be represented as a table, where each row is an object and each colu ..."
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column is an attribute. Data cube represents the multidimensional data with all possible aggregates. The three dimensional data cubes represent the different attributes entirely controlled with the help of objects. In general, a data cube is generalization of statistical terminology as a cross
Flexible Data Cube for RangeSum Queries in Dynamic OLAP Data Cubes
"... The data cube is frequently adopted to implement OnLine Analytical Processing (OLAP) and provides aggregate information to support the analysis of contents of databases and data warehouses. Rangesum queries require accessing large data cubes and adding the contents of massive cells immediately. Te ..."
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The data cube is frequently adopted to implement OnLine Analytical Processing (OLAP) and provides aggregate information to support the analysis of contents of databases and data warehouses. Rangesum queries require accessing large data cubes and adding the contents of massive cells immediately
Results 1  10
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