Currently statistical and artificial neural network methods dominate in financial data mining. Alternative relational (symbolic) data mining methods have shown their effectiveness...
In order to control the process of data mining and focus on the things of interest to us, many kinds of constraints have been added into the algorithms of data mining. However, di...
Current moving-object indexing concentrates on point-objects capable of continuous movement in one-, two-, and three-dimensional Euclidean spaces, and most approaches are based on...
Once you have proved your refinement correct, that is not the end. Real products, and their accompanying specifications, develop over time, with new improved versions having added...
The paper presents a new genetic local search algorithm for multi-objective combinatorial optimization. The goal of the algorithm is to generate in a short time a set of approxima...