—Outlier mining is a major task in data analysis. Outliers are objects that highly deviate from regular objects in their local neighborhood. Density-based outlier ranking methods...
Program dependence information is useful for a variety of software testing and maintenance tasks. Properly defined, control and data dependencies can be used to identify semantic...
Abstract— A Bayes net has qualitative and quantitative aspects: The qualitative aspect is its graphical structure that corresponds to correlations among the variables in the Baye...
Oliver Schulte, Gustavo Frigo, Russell Greiner, We...
Tuning tools attempt to configure a database to achieve optimal performance for a given workload. Selecting an optimal set of physical structures is computationally hard since it ...
Ioannis Alagiannis, Debabrata Dash, Karl Schnaitte...
As Si CMOS devices are scaled down into the nanoscale regime, current computer architecture approaches are reaching their practical limits. Future nano-architectures will confront...
Kundan Nepal, R. Iris Bahar, Joseph L. Mundy, Will...