Incremental mining of frequent serial episodes considering multiple occurrences

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Title

Incremental mining of frequent serial episodes considering multiple occurrences

Content partner

University of Waikato

Collection

ResearchCommons@Waikato

Description

The need to analyze information from streams arises in a variety of applications. One of its fundamental research directions is to mine sequential patterns over data streams. Current studies mine series of items based on the presence of the pattern in transactions but pay no attention to the series of itemsets and their multiple occurrences. The pattern over a window of itemsets stream and their multiple occurrences, however, provides additional capability to recognize the essential character...

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Format

Research paper

Research format

Conference item

Date created

2022

Creator

Guyet, Thomas / Zhang, Wenbin / Bifet, Albert

URL

https://hdl.handle.net/10289/15630

Related subjects

computer science / event sequence / serial episode / multiple occurrences

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This is an author’s accepted version of a conference paper published in Computational Science– ICCS 2022 22nd International Conference London, UK, June 21–23, 2022 Proceedings, Part I. © Springer Nature Switzerland AG 2022.

You can learn more about the rights status of this item at: https://researchcommons.waikato.ac.nz/pages/copyright_reuse/en

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