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» Clustering Improves the Exploration of Graph Mining Results
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IAT
2006
IEEE
15 years 5 months ago
Crime Pattern Detection Using Data Mining
Data mining can be used to model crime detection problems. Crimes are a social nuisance and cost our society dearly in several ways. Any research that can help in solving crimes f...
Shyam Varan Nath
KDD
2009
ACM
198views Data Mining» more  KDD 2009»
16 years 11 days ago
Heterogeneous source consensus learning via decision propagation and negotiation
Nowadays, enormous amounts of data are continuously generated not only in massive scale, but also from different, sometimes conflicting, views. Therefore, it is important to conso...
Jing Gao, Wei Fan, Yizhou Sun, Jiawei Han
ICCS
2005
Springer
15 years 5 months ago
A Multi-level Approach for Document Clustering
Abstract. The divisive MinMaxCut algorithm of Ding et al. [3] produces more accurate clustering results than existing document cluster methods. Multilevel algorithms [4, 1, 5, 7] h...
Suely Oliveira, Sang-Cheol Seok
COR
2008
92views more  COR 2008»
14 years 12 months ago
Lagrangean relaxation with clusters for point-feature cartographic label placement problems
This paper presents two new mathematical formulations for the Point-Feature Cartographic Label Placement Problem (PFCLP ) and a new Lagrangean relaxation with clusters (LagClus) t...
Glaydston Mattos Ribeiro, Luiz Antonio Nogueira Lo...
AINA
2007
IEEE
15 years 6 months ago
Mining Visual Knowledge for Multi-Lingual Image Retrieval
Users commonly rely just on scarce textual annotation when their searches for images are semantic or conceptual based. Rich visual information is often thrown away in basic annota...
Masashi Inoue