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  An improved group similarity-based association rule mining algorithm in complex scenes

Duan, G., Wang, X., Huang, T., Kurths, J. (2020): An improved group similarity-based association rule mining algorithm in complex scenes. - International Journal of Pattern Recognition and Artificial Intelligence, 34, 2, 2059005.
https://doi.org/10.1142/S0218001420590053

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Item Permalink: https://publications.pik-potsdam.de/pubman/item/item_24194 Version Permalink: https://publications.pik-potsdam.de/pubman/item/item_24194_3
Genre: Journal Article

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 Creators:
Duan, Guiduo1, Author           
Wang, Xiaotong2, Author
Huang, Tianxi2, Author
Kurths, Jürgen1, Author           
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              
2External Organizations, ou_persistent22              

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 Dates: 2019-06-142020
 Publication Status: Finally published
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1142/S0218001420590053
PIKDOMAIN: RD4 - Complexity Science
MDB-ID: No data to archive
Working Group: Network- and machine-learning-based prediction of extreme events
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Title: International Journal of Pattern Recognition and Artificial Intelligence
Source Genre: Journal, SCI, Scopus
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Pages: - Volume / Issue: 34 (2) Sequence Number: 2059005 Start / End Page: - Identifier: Other: 1793-6381
ISSN: 0218-0014
CoNE: https://publications.pik-potsdam.de/cone/journals/resource/international-journal-pattern-recognition-artificial-intelligence
Publisher: World Scientific Publishing