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KDD
2003
ACM
129views Data Mining» more  KDD 2003»
14 years 9 months ago
Empirical comparisons of various voting methods in bagging
Finding effective methods for developing an ensemble of models has been an active research area of large-scale data mining in recent years. Models learned from data are often subj...
Kelvin T. Leung, Douglas Stott Parker Jr.
JIIS
2006
113views more  JIIS 2006»
13 years 8 months ago
Spatial ordering and encoding for geographic data mining and visualization
: Geographic information (e.g., locations, networks, and nearest neighbors) are unique and different from other aspatial attributes (e.g., population, sales, or income). It is a ch...
Diansheng Guo, Mark Gahegan
KDD
1999
ACM
117views Data Mining» more  KDD 1999»
14 years 26 days ago
Identifying Distinctive Subsequences in Multivariate Time Series by Clustering
Most time series comparison algorithms attempt to discover what the members of a set of time series have in common. We investigate a di erent problem, determining what distinguish...
Tim Oates
WSDM
2009
ACM
136views Data Mining» more  WSDM 2009»
14 years 3 months ago
Mining common topics from multiple asynchronous text streams
Text streams are becoming more and more ubiquitous, in the forms of news feeds, weblog archives and so on, which result in a large volume of data. An effective way to explore the...
Xiang Wang 0002, Kai Zhang, Xiaoming Jin, Dou Shen
IROS
2006
IEEE
125views Robotics» more  IROS 2006»
14 years 2 months ago
Surface Recognition by Registering Data Curves from Touch
Model-based recognition of an object typically involves matching dense 3D range data. The computational cost is directly affected by the amount of data of which a transformation n...
Rinat Ibrayev, Yan-Bin Jia