| Номер документа в системі: | 339896 |
| Автор: | Oliinyk A. O., Skrupsky S. Yu., Shkarupylo V. V., Blagodariov O. Yu. |
| Назва документа: | Parallel multiagent method of big data reduction for pattern recognition = Паралельний мультиагентний метод редукції великих масивів даних для розпізнавання образів |
| УДК | 004.272.26+004.93 |
| Мова документу | Англійська |
| Аннотація | Context. The problem of feature selection for big data processing based on the multi-agent approach and parallel computation has been solved. The object of research is the process of feature selection. The subject of the research are the methods of feature selection.
Objective. The purpose of the work is to create a parallel multi-agent method for reducing of big data sets.
Method. The article deals with the parallel multi-agent method for reducing of big data sets. The developed method involves splitting multiple agents into several subsets for parallel search of an informative combination of features in different areas of the search space. At the same time, it is suggested that the parallel nodes of the computer system perform the most resource-intensive operations associated with estimating the current set of agents, as well as the need to create and modify new sets of solutions based on stochastic computations. This allows to speed up the process of multi-agent search of informative combination |
| Кількість сторінок | P. 82-92. |