143 search results - page 16 / 29 » Unsupervised Topographic Learning for Spatiotemporal Data Mi... |
PKDD
2009
Springer
14 years 2 months ago
2009
Springer
Data domain description techniques aim at deriving concise descriptions of objects belonging to a category of interest. For instance, the support vector domain description (SVDD) l...
SDM
2004
SIAM
13 years 9 months ago
2004
SIAM
Semi-supervised clustering uses a small amount of supervised data to aid unsupervised learning. One typical approach specifies a limited number of must-link and cannotlink constra...
22
Voted
KDD
2004
ACM
14 years 8 months ago
2004
ACM
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
GIS
2007
ACM
14 years 1 months ago
2007
ACM
As technology advances we encounter more available data on moving objects, thus increasing our ability to mine spatiotemporal data. We can use this data for learning moving object...
WSDM
2012
ACM
12 years 3 months ago
2012
ACM
This paper presents a novel opinion mining research problem, which is called Contrastive Opinion Modeling (COM). Given any query topic and a set of text collections from multiple ...