Research on global tourism information query method based on association mining

The traditional global tourism information query method cannot mine the internal relevance of discrete information, which leads to the problem of inaccurate query results and long query response time. This paper proposes a method of global tourism information query based on association mining. Using SAS/ME tools, the data of global tourism information is processed and screened. According to the results of data processing, the whole tourism information dataset is constructed. The C4.5 decision tree algorithm and SAS miner enterprise are used to mine the association of tourism information in the whole region. According to the results of association mining, a global tourism information query system is established to realise the global tourism information query. The experimental results show that this method has the shortest response time and higher query precision, which shows that this method is more suitable for the global tourism information query.