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» Hierarchical exploration of large multivariate data sets
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TVCG
2011
152views more  TVCG 2011»
14 years 4 months ago
Automated Analytical Methods to Support Visual Exploration of High-Dimensional Data
—Visual exploration of multivariate data typically requires projection onto lower-dimensional representations. The number of possible representations grows rapidly with the numbe...
Andrada Tatu, Georgia Albuquerque, Martin Eisemann...
ARTMED
2002
92views more  ARTMED 2002»
14 years 9 months ago
Predicting glaucomatous visual field deterioration through short multivariate time series modelling
In bio-medical domains there are many applications involving the modelling of multivariate time series (MTS) data. One area that has been largely overlooked so far is the particul...
Stephen Swift, Xiaohui Liu
GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
14 years 10 months ago
Informative sampling for large unbalanced data sets
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
Zhenyu Lu, Anand I. Rughani, Bruce I. Tranmer, Jos...
SIGMOD
2002
ACM
132views Database» more  SIGMOD 2002»
15 years 9 months ago
Clustering by pattern similarity in large data sets
Clustering is the process of grouping a set of objects into classes of similar objects. Although definitions of similarity vary from one clustering model to another, in most of th...
Haixun Wang, Wei Wang 0010, Jiong Yang, Philip S. ...
WWW
2007
ACM
15 years 10 months ago
Towards effective browsing of large scale social annotations
This paper is concerned with the problem of browsing social annotations. Today, a lot of services (e.g., Del.icio.us, Filckr) have been provided for helping users to manage and sh...
Rui Li, Shenghua Bao, Yong Yu, Ben Fei, Zhong Su