An Efficient Algorithm for Mining Association Rules in Large Databases
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Event Tunnel: Exploring Event-Driven Business Processes
IEEE Computer Graphics and Applications
Principal Manifolds for Data Visualization and Dimension Reduction
Principal Manifolds for Data Visualization and Dimension Reduction
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This paper presents an approximate approach to analysis of space-time structures for unsteady problems in CFD (computational fluid dynamics). The approach is based on the solution of optimization problem combined with methods of data visual presentation. This approach is intended for fast approximate estimation of unsteady flow structures dependence on characteristic parameters (or determining parameters) in a certain class of problems. For some cases such approach allows to obtain the sought-for dependence in a quasi-analytical form. Having natural internal parallelism the approach is very suitable for parallel computations.