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IRI
2003
IEEE
15 years 9 months ago
Damage Pattern Mining in Hurricane Image Databases
– We present a damage pattern mining framework for hurricane data on residential houses using aerial photographs with 1:3000 based scale. The vertical photographs are normally co...
Shu-Ching Chen, Mei-Ling Shyu, Chengcui Zhang, Wal...
SDM
2003
SIAM
110views Data Mining» more  SDM 2003»
15 years 5 months ago
Mixture Models and Frequent Sets: Combining Global and Local Methods for 0-1 Data
We study the interaction between global and local techniques in data mining. Specifically, we study the collections of frequent sets in clusters produced by a probabilistic clust...
Jaakko Hollmén, Jouni K. Seppänen, Hei...
PAKDD
2010
ACM
169views Data Mining» more  PAKDD 2010»
15 years 5 months ago
Correspondence Clustering: An Approach to Cluster Multiple Related Spatial Datasets
Domain experts are frequently interested to analyze multiple related spatial datasets. This capability is important for change analysis and contrast mining. In this paper, a novel ...
Vadeerat Rinsurongkawong, Christoph F. Eick
189
Voted
KDD
2012
ACM
281views Data Mining» more  KDD 2012»
13 years 6 months ago
Active spectral clustering via iterative uncertainty reduction
Spectral clustering is a widely used method for organizing data that only relies on pairwise similarity measurements. This makes its application to non-vectorial data straightforw...
Fabian L. Wauthier, Nebojsa Jojic, Michael I. Jord...
CIKM
2005
Springer
15 years 9 months ago
Opportunity map: a visualization framework for fast identification of actionable knowledge
Data mining techniques frequently find a large number of patterns or rules, which make it very difficult for a human analyst to interpret the results and to find the truly interes...
Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Weimin Xia...