The massive data generated by the Internet of Things (IoT) are considered of high business
value, and data mining algorithms can be applied to IoT to extract hidden information from …

Complementary to the fancy big data applications, networking for big data is an
indispensable supporting platform for these applications in practice. This emerging research …

Voluminous amounts of data have been produced, since the past decade as the
miniaturization of Internet of things (IoT) devices increases. However, such data are not …

K nearest neighbors (kNN) is an efficient lazy learning algorithm and has successfully been
developed in real applications. It is natural to scale the kNN method to the large scale …

Big Data concern large-volume, complex, growing data sets with multiple, autonomous
sources. With the fast development of networking, data storage, and the data collection …

During decision making, we are often confronted by a huge amount of factors. These factors
may be either an advantage or a disadvantage to a decision objective. For the purpose of …

Efficiently detecting outliers or anomalies is an important problem in many areas of science,
medicine and information technology. Applications range from data cleaning to clinical …

There has been an exponential growth in the number of low‐cost heterogeneous sensor
devices that are connected to the internet in the existing infrastructure of smart cities in the …

In this paper, we review recent progresses in the area of mining data from multiple data
sources. The advancement of information communication technology has generated a large …

Healthcare informatics and analytics (HCI&A), also known as healthcare information
technology (HIT), healthcare IS (HIS), and so on, has rapidly evolved with the emerge of …