Health big data has already been the most important big data for its serious privacy
disclosure concerns and huge potential value of secondary use. Measurements must be …

The growing popularity and development of data mining technologies bring serious threat to
the security of individual,'s sensitive information. An emerging research topic in data mining …

Abstract The Internet of things (IoT) aims to connect everything and everyone around the
world to provide diverse applications that improve quality of life. In this technology, the …

The neural network has been widely used to train predictive models for applications such as
image processing, disease prediction, and face recognition. To produce more accurate …

Supervised machine learning techniques have already been widely studied and applied to
various real-world applications. However, most existing supervised algorithms work well …

The recent advances in deep learning have improved the state of the art in artificial
intelligence, and one of the most important stimulants of this success is the large volume of …

Machine learning has played an increasing important role in big data systems due to its
capability of efficiently discovering valuable knowledge and hidden information. Often times …

Decision trees and random forests are widely used classifiers in machine learning. Service
providers often host classification models in a cloud service and provide an interface for …

This paper presents a new architecture of a fuzzy decision tree based on fuzzy rules–fuzzy
rule based decision tree (FRDT) and provides a learning algorithm. In contrast with …

The internet of things (IoT) has prepared the way for a highly linked world, in which
everything is interconnected, and information exchange has become more easily accessible …