Application of association rules for the implementation of adaptive information systems for monitoring adverse conditions systems hopping state
Modern Information Monitoring System (IMS) have difficulty accounting for the automatic transfer of new control object scripting (TC) in a dangerous condition (arias and disasters). The presence of an accident associated with an injury, which in certain cases can reach considerable size. The aim is to reduce the probability of an accident on the vehicle, by improving their IMS. To implement automatic registration of new TS transition scenarios in a dangerous condition is proposed to introduce in the IMS elements of adaptability through the use of association rules to supplement existing logic models in IMS, in contrast to a manual rebuild of such models. Application of association rules search methods associated with the need to process a large amount of statistical information which can accumulate IMS Abstract. Modern Information Monitoring System (IMS) have difficulty accounting for the automatic transfer of new control object scripting (TC) in a dangerous condition (arias and disasters). The presence of an accident associated with an injury, which in certain cases can reach considerable size. The aim is to reduce the probability of an accident on the vehicle, by improving their IMS. To implement automatic registration of new TS transition scenarios in a dangerous condition is proposed to introduce in the IMS elements of adaptability through the use of association rules to supplement existing logic models in IMS, in contrast to a manual rebuild of such models. Application of association rules search methods associated with the need to process a large amount of statistical information which can accumulate IMS