The need for mining causality, beyond mere statistical correlations, for real world problems has been recognized widely. Many of these applications naturally involve temporal data...
Stereotypes and clustering are some techniques for creating user models from user behavior. Yet, they possess important risks as users actions could be misinterpreted or users coul...
The extraction of temporal characteristics from sensor data streams can reveal important properties about the sensed events. Knowledge of temporal characteristics in applications ...
Many data base applications require the storage and manipulation of different versions of data objects. To satisfy the diverse needs of these applications, current database system...
We present a valid-time extension of SQL and investigate its efficient implementation on an Object-Relational database system. We propose an approach where temporal queries are ex...