Abstract Maritime Autonomous Surface Ships (MASS) are deemed as the future of maritime
transport. Although showing attractiveness in terms of the solutions to emerging challenges …

With the rapid advances of sensing technologies and wireless communications, large
amounts of dynamic data pertaining to industrial production are being collected from many …

Feature selection is a significant task in data mining and machine learning applications
which eliminates irrelevant and redundant features and improves learning performance …

To date, the privacy-protection intended pixelation tasks are still labor-intensive and yet to
be studied. With the prevailing of video live streaming, establishing an online face pixelation …

In this paper, a new clustering algorithm inspired by magnetic force is proposed. This
algorithm is not sensitive to the initialization problem of cluster centroids. Centroid particles …

Abstract Semantics is used to exchange information from one place to another place in a
meaningful way. The data is generated from various heterogeneous devices …

With the prevailing development of Cyber-physical-social systems and Internet of Things,
large-scale data have been collected consistently. Mining large data effectively and …

Background A clinical pathway (CP) defines a standardized care process for a well-defined
patient group that aims to improve patient outcomes and promote patient safety. However …

The correlation analysis of commodity sales is very important in cross-marketing. A means of
undertaking dynamic-model-based time series data-mining was proposed to analyze the …

Using unsupervised learning methods for clinical diagnosis is very meaningful. In this study,
we propose an unsupervised multi-view & multi-medoid variant-entropy-based fuzzy …