19
Views
2
CrossRef citations to date
0
Altmetric
Original Articles

Fast retrieval algorithm of feature information in database

Pages 1507-1511 | Received 01 Apr 2017, Published online: 20 Dec 2017
 

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:

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.