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ICDM
2008
IEEE
184views Data Mining» more  ICDM 2008»
15 years 8 months ago
Bayesian Co-clustering
In recent years, co-clustering has emerged as a powerful data mining tool that can analyze dyadic data connecting two entities. However, almost all existing co-clustering techniqu...
Hanhuai Shan, Arindam Banerjee
PAMI
2010
164views more  PAMI 2010»
15 years 12 days ago
Large-Scale Discovery of Spatially Related Images
— We propose a randomized data mining method that finds clusters of spatially overlapping images. The core of the method relies on the min-Hash algorithm for fast detection of p...
Ondrej Chum, Jiri Matas
HICSS
2012
IEEE
268views Biometrics» more  HICSS 2012»
13 years 9 months ago
Goals and Tasks: Two Typologies of Citizen Science Projects
—Citizen science is a form of research collaboration involving members of the public in scientific research projects to address real-world problems. Often organized as a virtual...
Andrea Wiggins, Kevin Crowston
KDD
1998
ACM
80views Data Mining» more  KDD 1998»
15 years 6 months ago
Human Performance on Clustering Web Pages: A Preliminary Study
With the increase in information on the World Wide Web it has become difficult to quickly find desired information without using multiple queries or using a topic-specific search ...
Sofus A. Macskassy, Arunava Banerjee, Brian D. Dav...
SDM
2007
SIAM
122views Data Mining» more  SDM 2007»
15 years 3 months ago
Incremental Spectral Clustering With Application to Monitoring of Evolving Blog Communities
In recent years, spectral clustering method has gained attentions because of its superior performance compared to other traditional clustering algorithms such as K-means algorithm...
Huazhong Ning, Wei Xu, Yun Chi, Yihong Gong, Thoma...