Research problems in data warehousing
CIKM '95 Proceedings of the fourth international conference on Information and knowledge management
An overview of data warehousing and OLAP technology
ACM SIGMOD Record
Maintenance of data cubes and summary tables in a warehouse
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
An array-based algorithm for simultaneous multidimensional aggregates
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An alternative storage organization for ROLAP aggregate views based on cubetrees
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
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ACM SIGMOD Record
Knowledge discovery in data warehouses
ACM SIGMOD Record
Database Systems: The Complete Book
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Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Total
ICDE '96 Proceedings of the Twelfth International Conference on Data Engineering
On the Computation of Multidimensional Aggregates
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Relative Prefix Sums: An Efficient Approach for Querying Dynamic OLAP Data Cubes
ICDE '99 Proceedings of the 15th International Conference on Data Engineering
Multidimensional models for simulation
MCBE'09 Proceedings of the 10th WSEAS international conference on Mathematics and computers in business and economics
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The goal of this article is to depict algorithms and new approach of creating data cube efficiently and to set tasks for future work. In short, the paper has described it as a data abstraction that allows one to view aggregated data from a number of perspectives: 1) Conceptually, the cube consists of a base cuboid, surrounded by a collection of sub-cubes that represent the aggregation of the base cuboid along one or more dimensions; 2) The basic methods for computing a group-by: sort-based and hash-based. 3) Dynamic Data Cube, which provide efficient performance and allows for the data cube expansion in any direction. 4) OO Conceptual Model Data Cube - class definition of data cube.