Association Rule Mining Based on Multidimensional Pattern Relations

Yu Ke Chen; Tai Xiang Zhao

doi:10.4028/www.scientific.net/AMR.918.243

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 918Association Rule Mining Based on Multidimensional...

Association Rule Mining Based on Multidimensional Pattern Relations

Abstract:

Most incremental mining and online mining algorithms concentrate on finding association rules or patterns consistent with entire current sets of data. Users cannot easily obtain results from only interesting portion of data. This may prevent the usage of mining from online decision support for multidimensional data. To provide adhoc, query driven, and online mining support, we first propose a relation called the multidimensional pattern relation to structurally and systematically store context and mining information for later analysis.

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Periodical:

Advanced Materials Research (Volume 918)

Pages:

243-245

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.918.243

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Online since:

April 2014

Authors:

Yu Ke Chen*, Tai Xiang Zhao

Keywords:

Association Rule, Constraint Based Mining, Data Mining (DM), Data Warehouse, Incremental Mining, Multidimensional Mining

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* - Corresponding Author

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