The water supply association analysis method in Shenzhen based on kmeans clustering discretization and apriori algorithm.

ABSTRACT: Since water supply association analysis plays an important role in attribution analysis of water supply fluctuation, how to carry out effective association analysis has become a critical problem. However, the current techniques and methods used for association analysis are not very effective because they are based on continuous data. In general, there is different degrees of monotone relationship between continuous data, which makes the analysis results easily affected by monotone relationship. The multicollinearity between continuous data distorts these analytical methods and may generate incorrect results. Meanwhile, we cannot know the association rules and value interval between features and water supply. Therefore, the lack of an effective analysis method hinders the water supply assoc

SUBMITTER: Liu X 

PROVIDER: S-EPMC8341608 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature