Most recent research of scalable inductive learning on very large dataset, decision tree construction in particular, focuses on eliminating memory constraints and reducing the num...
We define a deterministic metric of "well-behaved data" that enables searching along the lines of interpolation search. Specifically, define to be the ratio of distance...
The Desktop History Tool presents users with a summary of the data they worked with throughout past days and weeks. The user’s own interaction history provides an invaluable sel...
We present a reverse engineering method for constructing a surface approximation scheme whose input is a set of unorganized noisy points in space and whose output is a set of quad...
In this paper we present novel algorithmic solutions for several resource processing and data transfer multicriteria optimization problems. The results of most of the presented tec...