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» Using Clustering Methods for Discovering Event Structures
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WIDM
2004
ACM
14 years 1 months ago
Querying structured data in an unstructured P2P system
Abstract— Peer-to-Peer networking has become a major research topic over the last few years. Sharing of structured data in such decentralized environments is a challenging proble...
Verena Kantere, Dimitrios Tsoumakos, Nick Roussopo...
ICDE
2010
IEEE
173views Database» more  ICDE 2010»
14 years 3 months ago
Progressive clustering of networks using Structure-Connected Order of Traversal
— Network clustering enables us to view a complex network at the macro level, by grouping its nodes into units whose characteristics and interrelationships are easier to analyze ...
Dustin Bortner, Jiawei Han
CVPR
2010
IEEE
14 years 4 months ago
Collect-Cut: Segmentation with Top-Down Cues Discovered in Multi-Object Images
We present a method to segment a collection of unlabeled images while exploiting automatically discovered appearance patterns shared between them. Given an unlabeled pool of multi...
Yong Jae Lee, Kristen Grauman
KDD
2003
ACM
161views Data Mining» more  KDD 2003»
14 years 8 months ago
Empirical Bayesian data mining for discovering patterns in post-marketing drug safety
Because of practical limits in characterizing the safety profiles of therapeutic products prior to marketing, manufacturers and regulatory agencies perform post-marketing surveill...
David M. Fram, June S. Almenoff, William DuMouchel
CSB
2003
IEEE
130views Bioinformatics» more  CSB 2003»
14 years 1 months ago
Latent Structure Models for the Analysis of Gene Expression Data
Cluster methods have been successfully applied in gene expression data analysis to address tumor classification. By grouping tissue samples into homogeneous subsets, more systema...
Dong Hua, Dechang Chen, Xiuzhen Cheng, Abdou Youss...