English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

In the view of the information inaccuracy and additional information in the web page recommendation algorithm of multi similar web pages, the data clustering effect is not satisfactory. In this paper, a new method for the image denoising method based on the rough set of Gauss block is proposed. Firstly, based on the information uncertainty, we use rough set theory to improve the traditional probabilistic data clustering model, which is suitable to deal with the problem of information uncertainty. Secondly, to solve the problem that the fixed probability data clustering is used to deal with the problem of web page tag recommendation, the problem is that the new algorithm has higher accuracy and efficiency compared with the new information.

Clustering Algorithm Based on Time Series Similarity to Web Data Clustering