Recent years have witnessed the exponential growth of time series data as the popularity of
sensing devices and development of IoT techniques; time series classification has been …

Joint fraud is one of the most common fraud types existing in medical fraud. However, joint
fraud detection is a difficult problem because fraudsters take only a very small part of the …

Cyber–physical systems (CPS), as the cornerstone of smart city, has been attracting great
interest from academia and industry. It aims to monitor/control physical components via …

Nowadays, with the proliferation of IoT (Internet of Things), we have gradually entered into a
new IoE (Internet of Everything) era, in which billions of connected devices in widespread …

Time series segmentation is an important vehicle of data mining and extensively applied in
the areas of machine learning and anomaly detection. In real world tasks, dynamics widely …

Error-bounded piecewise linear approximation (l∞-PLA) has been proven effective in
addressing challenges in data management and analytics. It works by approximating the …

With the proliferation of IoMT (Internet of Medical Things), billions of connected medical
devices are constantly producing oceans of time series sensor data, dubbed as time series …

With the rapid development of information technology, we have already access to the era of
big data. Time series is a sequence of data points associated with numerical values and …

Accurate time series forecasting is critical in a variety of fields, including transportation,
weather prediction, energy management, infrastructure monitoring, and finance. Forecasting …

Real-time monitoring, analysis and operations in large industrial systems require an
accurate but compact data model created on the basis of a large number of data sources …