M2SP: Mining Sequential Patterns Among Several Dimensions - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier Access content directly
Conference Papers Year : 2005

M2SP: Mining Sequential Patterns Among Several Dimensions

Abstract

Mining sequential patterns aims at discovering correlations between events through time. However, even if many works have dealt with sequential pattern mining, none of them considers frequent sequential patterns involving several dimensions in the general case. In this paper, we propose a novel approach, called M 2 SP, to mine multidimensional sequential patterns. The main originality of our proposition is that we obtain not only intra-pattern sequences but also inter-pattern sequences. Moreover, we consider generalized multidimensional sequential patterns, called jokerized patterns, in which some of the dimension values may not be instanciated. Experiments on synthetic data are reported and show the scalability of our approach.

Domains

Other [cs.OH]
Fichier principal
Vignette du fichier
M2SP_Mining_Sequential_Patterns_Among_Several_Dime.pdf (255.35 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

lirmm-00106087 , version 1 (18-11-2019)

Identifiers

Cite

Marc Plantevit, Yeow Wei Choong, Anne Laurent, Dominique Laurent, Maguelonne Teisseire. M2SP: Mining Sequential Patterns Among Several Dimensions. PKDD 2005 - 9th European Conference on Principles and Practice of Knowledge Discovery in Databases, Oct 2005, Porto, Portugal. pp.205-216, ⟨10.1007/11564126_23⟩. ⟨lirmm-00106087⟩
131 View
134 Download

Altmetric

Share

Gmail Facebook X LinkedIn More