We provide a trend prediction classification framework named the random sampling method (RSM) for cryptocurrency time … the classification performance of our method expressed as the F-measure substantially exceeds the odds of a uniform random … process with three outcomes, proving that extraction of deterministic patterns for trend classification, and hence market …

the classification task of data mining where prior outliers preprocessing is necessary. …

industry. Three DM-techniques were selected: Dependency Modeling, Change and Deviation Detection, and Classification. Of these … three techniques, two were found to be of complementary value in a PPM-context, Dependency modeling and Classification …

, they are compared to the features selected by recursive feature elimination using classification and regression trees among … the financial indicators, using benchmark classification models. To confirm the performance of the proposed novel distance …

variables computed for the observations in the bootstrap sample are used as additional predictors for a classification tree. Two …

. It is likely that the use of such classification method may help both in deepening the knowledge of a market structure …