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article · HAL (Le Centre pour la Communication Scientifique Directe) · 2010

Contextual Sequential Pattern Mining

Julien Rabatel, Sandra Bringay, Pascal Poncelet

Cited by 10Open access

Abstract

Traditional sequential patterns do not take into account additional contextual information since patterns extracted from data are usually general. By considering the fact that a pattern is associated with one specific context the decision expert can then adapt his strategy considering the type of customers. In this paper we propose to mine more precise patterns of the form "young users buy products A and B then product C, while old users do not follow this same behavior". By highlighting relevant properties of such contexts, we show how contextual sequential patterns can be extracted by mining the database in a concise manner. We conduct our experimental evaluation on real-world data and demonstrate performance issues.

Cite this paper

APA 7

Rabatel, J., Bringay, S., & Poncelet, P. (2010). Contextual Sequential Pattern Mining. HAL (Le Centre pour la Communication Scientifique Directe), 12, 981–988. https://doi.org/10.1109/icdmw.2010.182

MLA 9

Rabatel, Julien, et al. “Contextual Sequential Pattern Mining.” HAL (Le Centre pour la Communication Scientifique Directe), vol. 12, 2010, pp. 981–88, https://doi.org/10.1109/icdmw.2010.182.

Chicago

Rabatel, Julien, Sandra Bringay, and Pascal Poncelet. 2010. “Contextual Sequential Pattern Mining.” HAL (Le Centre pour la Communication Scientifique Directe) 12: 981–88. https://doi.org/10.1109/icdmw.2010.182.

Harvard

Rabatel, J., Bringay, S. and Poncelet, P. (2010) ‘Contextual Sequential Pattern Mining’, HAL (Le Centre pour la Communication Scientifique Directe), 12, pp. 981–988. Available at: https://doi.org/10.1109/icdmw.2010.182.

BibTeX
@article{rabatel2010contextual,
  title = {{Contextual Sequential Pattern Mining}},
  author = {Rabatel, Julien and Bringay, Sandra and Poncelet, Pascal},
  journal = {HAL (Le Centre pour la Communication Scientifique Directe)},
  volume = {12},
  pages = {981--988},
  year = {2010},
  doi = {10.1109/icdmw.2010.182}
}

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