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ICDM
2008
IEEE
185views Data Mining» more  ICDM 2008»
16 years 1 months ago
Clustering Uncertain Data Using Voronoi Diagrams
We study the problem of clustering uncertain objects whose locations are described by probability density functions (pdf). We show that the UK-means algorithm, which generalises t...
Ben Kao, Sau Dan Lee, David W. Cheung, Wai-Shing H...
PAKDD
2010
ACM
146views Data Mining» more  PAKDD 2010»
15 years 11 months ago
Mining Antagonistic Communities from Social Networks
During social interactions in a community, there are often sub-communities that behave in opposite manner. These antagonistic sub-communities could represent groups of people with ...
Kuan Zhang, David Lo, Ee-Peng Lim
DPD
2002
125views more  DPD 2002»
15 years 6 months ago
Parallel Mining of Outliers in Large Database
Data mining is a new, important and fast growing database application. Outlier (exception) detection is one kind of data mining, which can be applied in a variety of areas like mon...
Edward Hung, David Wai-Lok Cheung
ICML
1998
IEEE
16 years 7 months ago
The Case against Accuracy Estimation for Comparing Induction Algorithms
We analyze critically the use of classi cation accuracy to compare classi ers on natural data sets, providing a thorough investigation using ROC analysis, standard machine learnin...
Foster J. Provost, Tom Fawcett, Ron Kohavi
CAINE
2008
15 years 8 months ago
A Recursive Hyperspheric Classification Algorithm
This paper presents a novel method for learning from a labeled dataset to accurately classify unknown data. The recursive algorithm, termed Recursive Hyperspheric Classification, ...
Salyer B. Reed, Carl G. Looney, Sergiu Dascalu