Research on Search Method Based on Data Segmentation of Related Attributes

Abstract

Aiming at the problem of safe protection and effective searching of texts in cloud environment, as well as improving the validity of cloud storage search, this paper proposes a text search method based on data segmentation of text attribute relationship. The index construction of the split text search method is carried out by firstly using the improved Apriori algorithm to obtain the associated word set of the search text to be uploaded, and then utilizing the associated word sets to split the text. Combining the text associated attribute word set and the text word vector space model, the keyword sets which are required for constructing the text index is selected. Experimental analysis shows that the search method constructed in this paper can achieve effective text search and restoration, and is suitable for text storage and search in complex cloud environments.