PROCEEDINGS IPMU '08
Gradual Trends in Fuzzy Sequential Patterns
Céline Fiot, Florent Masseglia, Anne Laurent, Maguelonne Teisseire
Fuzzy sequential pattern mining is a relevant
approach when dealing with temporally
annotated numerical data since
it allows discovering frequent sequences
embedded in the records. However, such
patterns, in their current form, do not
allow extracting another kind of knowledge
that is typical of sequential data:
temporal tendencies. Thanks to a relevant
use of fuzzy sequential patterns,
we propose the GraSP algorithm that
discovers gradual trends in sequences.
Our proposal is validated through experiments
on web access logs.
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