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Published in:
2007 | OriginalPaper | Chapter
Mining Disjunctive Sequential Patterns from News Stream
Authors : Kazuhiro Shimizu, Isamu Shioya, Takao Miura
Published in: Intelligent Data Engineering and Automated Learning - IDEAL 2007
Publisher: Springer Berlin Heidelberg
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Frequent disjunctive pattern is known to be a sophisticated method of text mining in a single document that satisfies
anti-monotonicity
, by which we can discuss efficient algorithm based on APRIORI. In this work, we propose a new
online and single-pass algorithm
by which we can extract current frequent
disjunctive patterns
by a weighting method for past events from a
news stream
. And we discuss some experimental results.