Visualization and visual analysis play important roles in exploring, analyzing, and
presenting scientific data. In many disciplines, data and model scenarios are becoming …

Since the late 1970s, relational database technology has been adopted by most
organizations to store their essential data. However, nowadays, the needs of these …

This e-book is devoted to global optimization algorithms, which are methods to find optimal
solutions for given problems. It especially focuses on Evolutionary Computation by …

Despite the ubiquity of temporal data and considerable research on the effective and
efficient processing of such data, database systems largely remain designed for processing …

The analysis of time-oriented data is an important task in many application scenarios. In
recent years, a variety of techniques for visualizing such data have been published. This …

Urban data is massive, heterogeneous, and spatio-temporal, posing a substantial challenge
for visualization and analysis. In this paper, we design and implement a novel visual …

Many approaches had been proposed for travel time prediction in these decades; most of
them focus on the predicting the travel time on freeway or simple arterial network. Travel …

Visual exploration of spatial data relies heavily on spatial aggregation queries that slice and
summarize the data over different regions. These queries comprise computationally …

Range aggregation is a primitive operation in spatial data applications and there is a
growing demand to support such operations over a data federation, where the entire spatial …

In order to process interval timestamped data, the sequenced semantics has been
proposed. This paper presents a relational algebra solution that provides native support for …