Мозгоподобные структуры для сбора и автоматизированной переработки бизнес-информации

Abstract

The given work considers the issues of collection and processing of big volumes of business information at the enterprise. The problem statement of systematization of business information is done in order to increase its value for decision-making. The main processes of information systematization are defined. The algorithms of business information search on the web are analyzed as well as clustering methods. The intelligent models of search of the web sources of information, its retrieval and clustering are suggested based on the method of comparator identification.