Sciweavers

1950 search results - page 35 / 390
» Informative sampling for large unbalanced data sets
Sort
View
VISSYM
2007
13 years 10 months ago
Multi-Resolution Techniques for Visual Exploration of Large Time-Series Data
Time series are a data type of utmost importance in many domains such as business management and service monitoring. We address the problem of visualizing large time-related data ...
Ming C. Hao, Umeshwar Dayal, Daniel A. Keim, Tobia...
ICDE
2010
IEEE
219views Database» more  ICDE 2010»
14 years 7 months ago
PIP: A Database System for Great and Small Expectations
Estimation via sampling out of highly selective join queries is well known to be problematic, most notably in online aggregation. Without goal-directed sampling strategies, samples...
Oliver Kennedy, Christoph Koch
EDBT
2009
ACM
131views Database» more  EDBT 2009»
13 years 11 months ago
Sample synopses for approximate answering of group-by queries
With the amount of data in current data warehouse databases growing steadily, random sampling is continuously gaining in importance. In particular, interactive analyses of large d...
Philipp Rösch, Wolfgang Lehner
ISCIS
2003
Springer
14 years 26 days ago
Comparison of Feature Sets Using Multimedia Translation
Feature selection is very important for many computer vision applications. However, it is hard to find a good measure for the comparison. In this study, feature sets are compared ...
Pinar Duygulu, Özge Can Özcanli, Norman ...
INFOVIS
2005
IEEE
14 years 1 months ago
Importance-Driven Visualization Layouts for Large Time Series Data
Time series are an important type of data with applications in virtually every aspect of the real world. Often a large number of time series have to be monitored and analyzed in p...
Ming C. Hao, Umeshwar Dayal, Daniel A. Keim, Tobia...