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IDEAL
2007
Springer

Mining Disjunctive Sequential Patterns from News Stream

12 years 3 months ago
Mining Disjunctive Sequential Patterns from News Stream
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 which can extract current frequent disjuctive patterns by a weighting method for past events from a news stream. And we discuss some experimental results. Key words Disjunctive Sequential Pattern, News Stream, Online and Single-Pass Algorithm
Kazuhiro Shimizu, Isamu Shioya, Takao Miura
Added 08 Jun 2010
Updated 08 Jun 2010
Type Conference
Year 2007
Where IDEAL
Authors Kazuhiro Shimizu, Isamu Shioya, Takao Miura
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