This paper proposes flexible report architecture based on association rules data mining. A three-layer architecture is proposed namely, origin-data layer, data-processing layer, and format layer. These three layers are linked by a data variant tree in a power information management system. Users can modify report format as well as data whenever needed. In the origin-data layer data warehouse is used to provide data from multiple databases. In the data-processing layer, on-line analytical processing (OLAP) and association rules are used to enhance the template-making for reports. A smart solution to the problem of fixed report templates is provided and information in a power information management system can be shared. In some sense it can be an all-purpose tool to generate reports with great flexibility. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Hu, Q. (2005). A flexible report architecture based on association rules mining. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3584 LNAI, pp. 736–743). Springer Verlag. https://doi.org/10.1007/11527503_87
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