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» Computing LTS Regression for Large Data Sets
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VIS
2009
IEEE
205views Visualization» more  VIS 2009»
14 years 9 months ago
Time and Streak Surfaces for Flow Visualization in Large Time-Varying Data Sets
Time and streak surfaces are ideal tools to illustrate time-varying vector fields since they directly appeal to the intuition about coherently moving particles. However, efficient ...
Hari Krishnan, Christoph Garth, Kenneth I. Joy
KDD
2002
ACM
118views Data Mining» more  KDD 2002»
14 years 8 months ago
SECRET: a scalable linear regression tree algorithm
Recently there has been an increasing interest in developing regression models for large datasets that are both accurate and easy to interpret. Regressors that have these properti...
Alin Dobra, Johannes Gehrke
KDD
2007
ACM
148views Data Mining» more  KDD 2007»
14 years 8 months ago
Scalable look-ahead linear regression trees
Most decision tree algorithms base their splitting decisions on a piecewise constant model. Often these splitting algorithms are extrapolated to trees with non-constant models at ...
David S. Vogel, Ognian Asparouhov, Tobias Scheffer
IDA
2011
Springer
13 years 2 months ago
A parallel, distributed algorithm for relational frequent pattern discovery from very large data sets
The amount of data produced by ubiquitous computing applications is quickly growing, due to the pervasive presence of small devices endowed with sensing, computing and communicatio...
Annalisa Appice, Michelangelo Ceci, Antonio Turi, ...
CHI
1994
ACM
13 years 12 months ago
Using aggregation and dynamic queries for exploring large data sets
When working with large data sets, users perform three primary types of activities: data manipulation, data analysis, and data visualization. The data manipulation process involve...
Jade Goldstein, Steven F. Roth