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Highly Efficient Mining of Overlapping Clusters in Signed W..:
, In:
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management
,
Hoang, Tuan-Anh
;
Lim, Ee-Peng
- p. 869-878 , 2017
Link:
https://dl.acm.org/doi/10.1145/3132847.3133004
RT T1 <cTitle>Proceedings of the 2017 ACM on Conference on Information and Knowledge Management</cTitle>: T1 <Title>Highly Efficient Mining of Overlapping Clusters in Signed Weighted Networks</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3133004&Exemplar=1&LAN=DE A1 Hoang, Tuan-Anh A1 Lim, Ee-Peng PB ACM YR 2017 K1 overlapping clustering K1 signed network K1 weighted network K1 Information systems K1 Information systems applications K1 Data mining K1 Clustering K1 Theory of computation K1 Theory and algorithms for application domains K1 Machine learning theory K1 Unsupervised learning and clustering K1 World Wide Web K1 Web applications K1 Social networks SP 869 OP 878 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3132847.3133004 DO https://dl.acm.org/doi/10.1145/3132847.3133004 SF ELIB - SuUB Bremen
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