English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  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

Item is

Files

show Files
hide Files
:
Duan_2020_s0218001420590053.pdf (Publisher version), 578KB
Name:
Duan_2020_s0218001420590053.pdf
Description:
-
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 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              

Content

show

Details

show
hide
Language(s):
 Dates: 2019-06-142020
 Publication Status: Finally published
 Pages: -
 Publishing info: -
 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
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: International Journal of Pattern Recognition and Artificial Intelligence
Source Genre: Journal, SCI, Scopus
 Creator(s):
Affiliations:
Publ. Info: -
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