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ICDM
2009
IEEE
109views Data Mining» more  ICDM 2009»
14 years 4 months ago
Finding Associations and Computing Similarity via Biased Pair Sampling
Sampling-based methods have previously been proposed for the problem of finding interesting associations in data, even for low-support items. While these methods do not guarantee ...
Andrea Campagna, Rasmus Pagh
AIRWEB
2006
Springer
14 years 1 months ago
Tracking Web Spam with Hidden Style Similarity
Automatically generated content is ubiquitous in the web: dynamic sites built using the three-tier paradigm are good examples (e.g. commercial sites, blogs and other sites powered...
Tanguy Urvoy, Thomas Lavergne, Pascal Filoche
KDD
1995
ACM
135views Data Mining» more  KDD 1995»
14 years 1 months ago
Rough Sets Similarity-Based Learning from Databases
Manydata mining algorithms developed recently are based on inductive learning methods. Very few are based on similarity-based learning. However, similarity-based learning accrues ...
Xiaohua Hu, Nick Cercone
AUSAI
2006
Springer
14 years 1 months ago
Clustering Similarity Comparison Using Density Profiles
The unsupervised nature of cluster analysis means that objects can be clustered in many different ways. This means that different clustering algorithms can lead to vastly different...
Eric Bae, James Bailey, Guozhu Dong
SPIESR
2001
141views Database» more  SPIESR 2001»
13 years 11 months ago
Image retrieval based on region shape similarity
This paper presents an image retrieval method based on region shape similarity. In our approach, we first segment images into primitive regions and then combine some of the primit...
Cheng Chang, Wenyin Liu, HongJiang Zhang