Multi-data multiple gray clustering analysis based on layered mining for ubiquitous clouds and social internet of things

1Citations
Citations of this article
8Readers
Mendeley users who have this article in their library.
Get full text

Abstract

At present, the research on data mining technology in our country mainly focuses on the basic algorithm. Many research results of data mining technology have not been applied in the actual engineering field. However, in many areas, the demand for data mining technology is urgent, such as network finance, industry, municipal public management, and communications engineering. The important research topics of data mining technology include cluster analysis. Cluster analysis is to sort out irregular data. The key to the research of data clustering is clustering algorithms. This article will elaborate on the data mining technology and the process of cluster analysis based on layered mining for the ubiquitous clouds and social Internet of Things. The proposed model will effectively promote the performance of the models.

Cite

CITATION STYLE

APA

Wang, M. (2023, January 1). Multi-data multiple gray clustering analysis based on layered mining for ubiquitous clouds and social internet of things. Internet Technology Letters. John Wiley and Sons Inc. https://doi.org/10.1002/itl2.252

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free