We present a comprehensive, detailed review of time-series data analysis, with emphasis on
deep time-series clustering (DTSC), and a case study in the context of movement behavior …

Trust evaluation is the process of quantifying trust with attributes that influence trust. It faces
a number of severe issues such as lack of essential evaluation data, demand of big data …

Visual analytics for time series data has received a considerable amount of attention.
Different approaches have been developed to understand the characteristics of the data and …

Malware analysis aims to identify malware by examining applications behaviour on the host
operating system. A common issue in malware analysis is how to mitigate and handle the …

Reservoirs are important for households and impact the national economy. This paper
proposed a time‐series forecasting model based on estimating a missing value followed by …

Manufacturing has enabled the mechanized mass production of the same (or similar)
products by replacing craftsmen with assembly lines of machines. The quality of each …

We propose in this paper a model checking framework for service trust behaviors. We devise
a new trust behavior model, which is a deterministic PushDown Automaton (PDA) based …

As a representative sequential pattern mining problem, counting the frequency of serial
episodes from a streaming sequence has drawn continuous attention in academia due to its …

Warts are benign tumors, caused by human papillomavirus (HPV). The present study mainly
emphasis on the selection of suitable methods for the removal of a common and plantar …

In order to solve the problems of low recommendation accuracy and long recommendation
time of traditional intelligent tourism route recommendation method, an intelligent tourism …