Упрощение транзакционных баз данных на основе четких продукций

Рассмотрена задача упрощения транзакционных баз данных. Предложен метод сокращения баз транзакций на основе четких продукций. Разработанный метод позволяет исключить неинформативные признаки и избыточные экземпляры из заданных массивов данных, что, в свою очередь, позволяет понизить структурную и параметрическую сложность синтезируемых диагностических моделей

An algorithm to mine general association rules from tabular data

The purpose of this paper is to investigate the estimation of surface currents directly on stripmap TerraSAR-X data, as an alternative to Along Track Interferometry. The algorithm relies on efficient baseband magnitude-based Doppler estimation, preventing the estimate from possible biases like azimuth ambiguities and strong target reflections. The validation of the algorithm is made with acquisitions over the Elbe estuary river in Germany and the Eyjafjallaj¨okull volcano in Iceland

Data mining by means of generalized patterns

The thesis is mainly focused on the study and the application of pattern discovery algorithms that aggregate database knowledge to discover and exploit valuable correlations, hidden in the analyzed data, at different abstraction levels. The aim of the research effort described in this work is two-fold: the discovery of associations, in the form of generalized patterns, from large data collections and the inference of semantic models, i.e., taxonomies and ontologies, suitable for driving the mining proces