The Research And Apjilication Of Data Miningin The Market Decision Making Of Tourism

With the development of economy, the tourism industry has become a pillarindustry for national development. To speed up the development of the tourism industry,more rational capital investment for tourism, the reasonable layout of the facilities,make scientific decisions will be very important to tourism.Data mining technology has had a profound impact in many industries and areas.Among data mining association rules mining, because it can find a lot of interestingconnections between data items, can provide the basis for our decision-making.Therefore, we will introduce data mining into tourism industry. Find out the hidden linkin the tourism industry, in order to provide the basis for scientific decision-making.Based on the studies of association rule techniques, this paper has improved theApriori algorithm for mining process. For frequent itemsets mining process,Apriori-Evo algorithm based on vertical distribution was proposed. For the rulegeneration process, an interactive algorithm was proposed, and proposed the concept ofstrong association rules, dynamic confidence. Finally, according to the characteristics ofthe tourism industry, this paper tries to apply the new algorithm and improvements totourism industry. After testing the new algorithm, the efficiency and effectiveness arebetter than the Apriori algorithm, and achieved good results in tourism data mining.