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  • Search: subject:"Semi-supervised clustering"
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Year of publication
Subject
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Semi-supervised clustering 2 Activity aggregation 1 Business process management 1 Business process model abstraction 1 Cluster analysis 1 Clusteranalyse 1 Clustering 1 Community structure 1 Complex networks 1 Constrained k-means clustering 1 Data Warehouse 1 Data model 1 Datenmodell 1 Group Detection 1 Hierarchical Semi- Supervised Clustering 1 Leader 1 Nonnegative matrix factorization 1 Order-preserving 1 Prozessmanagement 1 Regional cluster 1 Regionales Cluster 1 Researcher 1 Scientific Network Warehousing 1 Scientific Social Network 1 Social Network 1 Theorie 1 Theory 1 Virtual document 1
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Undetermined 3
Type of publication
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Article 3
Type of publication (narrower categories)
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Article in journal 1 Aufsatz in Zeitschrift 1
Language
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English 2 Undetermined 1
Author
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Ben Ahmed, Eya 1 Fu, Lidong 1 Gao, Lin 1 Ma, Xiaoke 1 Ouyang, Dantong 1 Sun, Shanwu 1 Wang, Nan 1 Yong, Xuerong 1
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Published in...
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Business & information systems engineering : BISE ; the international journal of Wirtschaftsinformatik 1 International Journal of Business Analytics (IJBAN) 1 Physica A: Statistical Mechanics and its Applications 1
Source
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ECONIS (ZBW) 1 RePEc 1 Other ZBW resources 1
Showing 1 - 3 of 3
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Business process modeling abstraction based on semi-supervised clustering analysis
Wang, Nan; Sun, Shanwu; Ouyang, Dantong - In: Business & information systems engineering : BISE ; the … 60 (2018) 6, pp. 525-542
Persistent link: https://www.econbiz.de/10011960819
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Detection of Leading Experts from ResearchGate
Ben Ahmed, Eya - In: International Journal of Business Analytics (IJBAN) 5 (2018) 3, pp. 67-86
introduces a new hierarchical semi-supervised clustering method based on ordinal density. The results of carried out experiments …
Persistent link: https://www.econbiz.de/10012043208
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Semi-supervised clustering algorithm for community structure detection in complex networks
Ma, Xiaoke; Gao, Lin; Yong, Xuerong; Fu, Lidong - In: Physica A: Statistical Mechanics and its Applications 389 (2010) 1, pp. 187-197
so-called SNMF-SS, by combining SNMF and a semi-supervised clustering approach. Previous NMF-based algorithms often …
Persistent link: https://www.econbiz.de/10010590435
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