HYPE: Mining Hierarchical Sequential Patterns - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier Access content directly
Conference Papers Year : 2006

HYPE: Mining Hierarchical Sequential Patterns

Abstract

Mining data warehouses is still an open problem as few approaches really take into account the specifities of this framework (e.g. multidimensionnality, hierarchies, historized data). Multidimensional sequential patterns have been studied. However, they do not provide any way to handle hierarchies. In this paper, we propose an original method of extraction of sequential patterns taking into account the hierarchies. This method extracts more accurate knowledge and extends our preceding approach \m. We define the concepts related to our problems as well as the associated algorithms. The experiments which we carried out show the interest of our proposal.
Fichier principal
Vignette du fichier
DOLAP_HYPE.pdf (153.7 Ko) Télécharger le fichier
Loading...

Dates and versions

lirmm-00135019 , version 1 (06-03-2007)

Identifiers

  • HAL Id : lirmm-00135019 , version 1

Cite

Marc Plantevit, Anne Laurent, Maguelonne Teisseire. HYPE: Mining Hierarchical Sequential Patterns. DOLAP'06: ACM Ninth International Workshop on Data Warehousing and OLAP, Nov 2006, Arlington, VA, USA, pp.8. ⟨lirmm-00135019⟩
98 View
471 Download

Share

Gmail Mastodon Facebook X LinkedIn More