OBJECTIVE:: Handling time-related concepts is essential in medicine. During diagnosis it
can make a substantial difference to know the temporal order in which some symptoms …

While scalable coherence has been extensively studied in the context of general purpose
chip multiprocessors (CMPs), GPU architectures present a new set of challenges …

On-line analytical processing (OLAP) systems considerably improve data analysis and are
finding wide-spread use. OLAP systems typically employ multidimensional data models to …

Calendar units, such as months and days, clock units, such as hours and seconds, and
specialized units, such as business days and academic years, play a major role in a wide …

Starting with an updated description of Allen's calculus, the book proceeds with a description
of the main qualitative calculi which have been developed over the last two decades. It …

In many daily transactions, the time when an event takes place is known and stored in
databases. Examples range from sales records, stock exchange, patient records, to scientific …

Online Analytical Processing (OLAP) systems considerably ease the process of analyzing
business data and have become widely used in industry. Such systems primarily employ …

A lot of work has been done in the area of data stream processing. Most of the previous
approaches regard only relational or XML based streams but do not cover semantically …

This collection represents the primary reference work for researchers and students in the
area of Temporal Reasoning in Artificial Intelligence. Temporal reasoning has a vital role to …

Spatiotemporal databases are becoming increasingly more common. Typically, applications
modeling spatiotemporal objects need to process vast amounts of data. In such cases …