We present CoLe, a cooperative data mining approach for discovering hybrid knowledge. It employs multiple different data mining algorithms, and combines results from them to enhan...
—We develop a stochastic local search algorithm for finding Pareto points for multi-criteria optimization problems. The algorithm alternates between different single-criterium o...
Abstract—The excellent bit error rate performance of new iterative decoding algorithms (e.g., turbodecoding) is achieved at the expense of a computationally burdensome decoding p...
Online aggregation is a promising solution to achieving fast early responses for interactive ad-hoc queries that compute aggregates on a large amount of data. Essential to the suc...