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KDD
2000
ACM
101views Data Mining» more  KDD 2000»
13 years 10 months ago
Incremental quantile estimation for massive tracking
Data--call records, internet packet headers, or other transaction records--are coming down a pipe at a ferocious rate, and we need to monitor statistics of the data. There is no r...
Fei Chen, Diane Lambert, José C. Pinheiro
KDD
2000
ACM
222views Data Mining» more  KDD 2000»
13 years 10 months ago
Interactive exploration of very large relational datasets through 3D dynamic projections
The grand tour, one of the most popular methods for multidimensional data exploration, is based on orthogonally projecting multidimensional data to a sequence of lower dimensional...
Li Yang
KDD
2010
ACM
249views Data Mining» more  KDD 2010»
13 years 8 months ago
Semi-supervised sparse metric learning using alternating linearization optimization
In plenty of scenarios, data can be represented as vectors mathematically abstracted as points in a Euclidean space. Because a great number of machine learning and data mining app...
Wei Liu, Shiqian Ma, Dacheng Tao, Jianzhuang Liu, ...
CONSTRAINTS
2008
117views more  CONSTRAINTS 2008»
13 years 6 months ago
Domain Specific High-Level Constraints for User Interface Layout
We present the Auckland Layout Model (ALM), a constraint-based technique for specifying 2D layout as it is used for arranging the controls in a GUI. Most GUI frameworks offer layo...
Christof Lutteroth, Robert Strandh, Gerald Weber
IWPC
2010
IEEE
13 years 5 months ago
Studying the Impact of Social Structures on Software Quality
Abstract—Correcting software defects accounts for a significant amount of resources such as time, money and personnel. To be able to focus testing efforts where needed the most,...
Nicolas Bettenburg, Ahmed E. Hassan