Fast retrieval algorithm of feature information in database

Abstract

In order to improve the accuracy of database retrieval, a fast retrieval algorithm of feature information in database based on Naive Bayes is proposed. Firstly, the data structure of database is analyzed, and the algorithm of semantic correlation degree feature extraction is designed. The feature extraction results are processed by clustering, and the interference data is processed by noise reduction and filtering, so that the information can be retrieved quickly. Experimental results show that the proposed algorithm has higher accuracy in database retrieval.

Subject Classification:

• MSC2010
• 94A99

Keywords:

• Database
• Feature information
• Fast search algorithm