关键词: 条件函数依赖, 搜索算法, 水利普查, 剪枝策略

Abstract: In view of the complex and huge research value data, finding the conditional function of the data can be used to effectively make use of these valuable data. However, the existing search algorithm to find the function depends on the slow efficiency in the face of huge data, so it is significant to improve the existing algorithms. This paper according to the characteristics of water resources survey data to find the condition function dependent algorithm is improved, on the basis of the original algorithm joins the pruning strategy. Experimental and theoretical results show that the improved algorithm is faster than the traditional search algorithm in the premise of guaranteeing the quality of the search, which makes the condition function of the search data more convenient.

Key words: conditional functional dependency, search algorithm, water resources survey, pruning strategy