Construction of Tourism Management Engineering Based on Data Mining Technology

In order to improve the construction quality of tourism management projects, this paper applies data mining algorithm management, and analyzes SMOTE algorithm. According improvement direction, proposes two improved algorithms, KM-SMOTE RM-SMOTE, uses clustering preprocess minority set. Moreover, on basis, establishes clusters obtains cluster centers. The deficiencies fuzzy positive negative class boundaries can be effectively solved by oversampling with center as base point, in case appropriately expanding reasonable interpolation method, area space boundary shrunk, performance improved. It seen from simulation test research that system based proposed play an important role promote efficiency.