Many types of data change over time, and different users and applications have requirements to access data at different points in time. A traditional DBMS stores data that is implied to be valid at ...

Temporal database systems are designed to capture and manage data that varies over time, thereby accommodating historical and time‐sensitive information. These systems integrate temporal dimensions ...

Temporal data mining has emerged as an essential tool to extract meaningful patterns from complex clinical data. By converting raw time-stamped measurements into higher-order symbolic abstractions, ...

The demands of today’s world seep into every facet of life; in terms of the enterprise, these demands dictate how modern applications should be developed, run, and maintained. Though the ideal app is ...

For the end-user, cloud-native services are supposed to simplify life and provide more agility. Still, for the developer, they can make life far more complex because of their distributed nature. Among ...