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Sequential pattern mining is an important subject in data mining with broad
applications in many different areas. However, previous sequential mining
algorithms mostly aimed to calculate the number of occurrences (the support)
without regard to the degree of importance of different data items.
In this paper, we propose to explore the search space of subsequences
with normalized weights. We are not only interested in the number
of occurrences of the sequences (supports of sequences), but also concerned
about...
In recent years, rough set approach computing issues concerning
reducts of decision tables have attracted the attention of many researchers.
In this paper, we present the time complexity of an algorithm
computing reducts of decision tables by relational database approach. Let
DS = (U, C ∪ {d}) be a consistent decision table, we say that A ⊆ C is a
relative reduct of DS if A contains a reduct of DS. Let s = <C ∪ {d} , F>
be a relation schema on the attribute set C ∪ {d}, we say that A ⊆ C...
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