Systematic reviews are an increasingly popular decision‐making tool that provides an
unbiased summary of evidence to support conservation action. These reviews bridge the …

Public interest in nature is an important driver of the success of conservation actions, such
that increasing public awareness of biodiversity has become a major conservation goal (ie …

When using traditional algorithms to mine the association of hiding information in medical
pathological data, there are some problems, such as low recognition rate of association and …

The employability of young graduates has gained increasing significance in the labour
market of the 21st century. Universities turn out millions of graduates annually, but at the …

In China's criminal procedure law, electronic data is a kind of independent evidence. With
the development of big data technology, more and more attention has been paid to the …

Purpose The purpose of this paper is to solve the problem of information privacy and
security of social users. Mobile internet and social network are more and more deeply …

Mining medical datasets is a challenging problem before data mining researchers as these
datasets have several hidden challenges compared to conventional datasets. Starting from …

This paper introduces CORE-BCD-mAI, a CO mposite Framework for RE presenting,
Querying, and Analyzing B ig C linical D ata by means of m ultidimensional AI Tools. The …

Association rules are used in different data mining applications, including Web mining,
intrusion detection, and bioinformatics. This study mainly discusses the COVID‐19 patient …

The medical image storage and transmission system completes the collection, storage,
management, diagnosis and information processing of digital medical image information …