Research on Fire Fighting Command Data Mining

From the fire and fire the relevance of data mining in large data, to have associated attribute values and frequent attribute values extracted and establish the association rules, and through data mining Apriori algorithm accuracy improve fire accuracy of command data applications. This paper discusses the improvement of Apriori algorithm of association rules, reduce the times of database scanning, reduced after Anthology of generation, improve fire fighting command data data mining performance and efficiency, meet the fire command data construction demand.