The islanded and network-connected modes are expected to be modeled into a unified form
as well as in a distributed fashion for multi-energy system. In this way, the adaptability and …

Entity alignment (EA) is a fundamental data integration task that identifies equivalent entities
between different knowledge graphs (KGs). Temporal Knowledge graphs (TKGs) extend …

With the continued deployment of the Internet of Things (IoT), increasing volumes of devices
are being deployed that emit massive spatially referenced data. Due in part to the dynamic …

The deployment of vehicle location services generates increasingly massive vehicle
trajectory data, which incurs high storage and transmission costs. A range of studies target …

Time series forecasting, that predicts events through a sequence of time, has received
increasing attention in past decades. The diverse range of time series forecasting models …

Hosting database services on cloud systems has become a common practice. This has led
to the increasing volume of database workloads, which provides the opportunity for pattern …

Trajectory data is used in various applications including traffic analysis, logistics, and
mobility services. It is usually collected continuously by sensors and accumulated at a server …

Learning patterns are crucial for predicting student dropout in educational settings, providing
insights into students' behaviors and motivations. However, existing mainstream dropout …

Nowadays, various sensors are collecting, storing, and transmitting tremendous trajectory
data, and it is well known that the storage, network bandwidth, and computing resources …

Background With the growth of trajectory data, the large amount of data causes a lot of
problems with storage, analysis, mining, etc. Most of the traditional trajectory data …