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 …

Network anomaly analysis is an emerging subtopic of network security. Network anomaly
refers to the unusual behavior of network devices or suspicious network status. A number of …

As the Internet of Things (IoT) grows rapidly, huge amounts of wireless sensor networks
emerged monitoring a wide range of infrastructure, in various domains such as healthcare …

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 …

Fuzzy clustering assigns a probability of membership for a datum to a cluster, which veritably
reflects real-world clustering scenarios but significantly increases the complexity of …

With the rapid development of e-commerce, online reviews have played an increasingly
important role in consumers' shopping intentions and behaviors. Therefore, how to …

With the widespread application of networked information-based technologies throughout
industry manufacturing, modern manufacturing facilities give rise to unprecedented levels of …

Network traffic log data is a key data source for forensic analysis of cybersecurity incidents.
Packet Captures (PCAPs) are the raw information directly gathered from the network device …

In order to guarantee the high level of network security and improve the user experience of
the network, in this paper, we propose an effective network anomaly traffic detection …

Visualization helps to comprehend and analyze large amounts of data, a fundamental
necessity for network security due to the large volume of audits traces produced each day. In …