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26

IDEAL
2007
Springer

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Mining Disjunctive Sequential Patterns from News Stream

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Mining Disjunctive Sequential Patterns from News Stream

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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 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

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Disjunctive Sequential Pattern | Frequent Disjunctive Pattern | IDEAL 2007 | Single-pass Algorithm |

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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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