Mining Disjunctive Sequential Patterns from News Stream

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Description

Frequent disjunctive pattern is known to be a sophisticated method of text mining in a single document that satisfies antimonotonicity, 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.

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