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Frequent conceptual links and link-based clustering : a ..:
, In:
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
,
Stattner, Erick
;
Collard, Martine
- p. 134-141 , 2013
Link:
https://dl.acm.org/doi/10.1145/2492517.2492548
RT T1 <cTitle>Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining</cTitle>: T1 <Title>Frequent conceptual links and link-based clustering : a comparative analysis of two clustering techniques</Title> UL https://suche.suub.uni-bremen.de/peid=acm-2492548&Exemplar=1&LAN=DE A1 Stattner, Erick A1 Collard, Martine PB ACM YR 2013 K1 clustering K1 frequent conceptual links K1 frequent patterns K1 social network K1 social network mining K1 Information systems K1 Information systems applications K1 Data mining K1 Clustering K1 Information retrieval K1 Retrieval tasks and goals K1 Clustering and classification K1 Human-centered computing K1 Human computer interaction (HCI) K1 Interaction paradigms K1 Web-based interaction SP 134 OP 141 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/2492517.2492548 DO https://dl.acm.org/doi/10.1145/2492517.2492548 SF ELIB - SuUB Bremen
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