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DOLAP
2006
ACM

HYPE: mining hierarchical sequential patterns

12 years 5 months ago
HYPE: mining hierarchical sequential patterns
Mining data warehouses is still an open problem as few approaches really take the specificities of this framework into account (e.g. multidimensionality, hierarchies, historized data). Multidimensional sequential patterns have been studied but they do not provide any way to handle hierarchies. In this paper, we propose an original sequential pattern extraction method that takes the hierarchies into account. This method extracts more accurate knowledge and extends our preceding M2 SP approach. We define the concepts related to our problems as well as the associated algorithms. The results of our experiments confirm the relevance of our proposal. Categories and Subject Descriptors I.5 [Pattern Recognition]: Miscellaneous; H. [Information Systems]: General General Terms Algorithms, Design, Theory. Keywords Multidimensional Sequential Patterns, Hierarchies, OLAP.
Marc Plantevit, Anne Laurent, Maguelonne Teisseire
Added 13 Jun 2010
Updated 13 Jun 2010
Type Conference
Year 2006
Where DOLAP
Authors Marc Plantevit, Anne Laurent, Maguelonne Teisseire
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