Association Rules Mining And Its Application In Business Decision Analysis

Data mining is a process of discovering valuable knowledge from a abundant of information, association rules as a important branch of data mining, is important in knowledge model of the data mining, it can discover interesting associations and correlative relations which can help make decisions for business decision-maker among large numbers of data items in business note. The problem of mining association rules from huge database has become a hot spot, since the briefly, explainable,understandable and efficiency of catching important relationship among data of association rules, it has gratifying progress in existed outcomes, explored many individual theory faculties.In this paper, we make association rules as a valuable technique to solve real business problems will largely depend on the successful application of this technique on real-world data. It first introduce the destination of data mining, the main techniques, system structure and running process, then describes basic theories and Apriori algorithms of association rules mining particularlly, through analysis and explanation, it refers to confidence and supportance. At last, we do some research on the application of association mining in business decision from the data of the rating for films, after the explanations of these association rules between films and films and between customers and films, give some guidance on business decision. In order to obtain a better and more impressed decision and turn information into knowledge and into profit.