Revisiting "An Apriori-based Approach for First-Order Temporal Pattern Mining"
DOI:
https://doi.org/10.5753/jidm.2010.943Abstract
A lot of different approaches related to sequential pattern mining have been proposed in the literature,
since 2004, when the original paper was published in the proceedings of SBBD 2004. Among these
approaches, we distinguish five main directions of research: (1) development of more efficient methods
for the classical sequential pattern mining problem, (2) sequential pattern mining with constraints, (3)
multidimensional and multilevel sequential patterns, (4) temporal patterns specified by more general
structures (tree and graph patterns), (5) temporal relational patterns with interval time attributes.
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Published
2010-05-27
How to Cite
de Amo, S., Furtado, D. A., Giacometti, A., & Laurent, D. (2010). Revisiting "An Apriori-based Approach for First-Order Temporal Pattern Mining". Journal of Information and Data Management, 1(1), 71. https://doi.org/10.5753/jidm.2010.943
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Section
Regular Papers