Dynamic social media content, such as Twitter messages, can be used to examine individuals' beliefs and perceptions. By analyzing Twitter messages, this study examines how Twitter users exchanged and recognized toponyms (city names) for different cities in the United States. The frequency and variety of city names found in their online conversations were used to identify the unique spatiotempor...

Global problems all occur at a particular location on or near the Earth’s surface. Sitting junction of artificial intelligence (AI) and big data, knowledge graphs (KGs) organize, interlink, create semantic knowledge, thus attracting much attention worldwide. Although existing KGs are constructed from internet encyclopedias contain abundant they lack exact coordinates geographical relationships....

Design of visual representation in geographical sciences is in most cases done within the confines of conventions or accepted practices that ensure that the visual designs adhere to, and remain within the realms of the usual and the expected. This is evident in conventional practices in cartography where map design is overwhelmingly constrained by the need for functional maps that target specif...

Performance modeling has long been considered a difficult science requiring expertise from seasoned capacity planners. Currently there has been a shift in the area of performance modeling towards ease-of-use and automation of the entire process. Automation not only hides this difficult science from the users but also delivers immediate Return on Investment for administrators with deploy and run...

In the last few decades, Grid technologies have emerged as an important area in parallel and distributed computing. The Grid can be seen as a computational and large-scale support, and even in some cases as a high-performance support. In recent years, the data mining community have been increasingly using Grid facilities to store, share, manage and mine large-scale data-driven applications. Ind...

Todate visualization has not been extensively harnessed in knowledge discovery in databases (KDD). In this paper, we show that a multidimensional visualization (MDV) technique can be used synergistically with a machine learning program like C4.5 to uncover new knowledge. Used together, the two approaches span the KDD spectrum between complete automation on one hand and fully manual on the other...

Trajectory data play a fundamental role to an increasing number of applications, such as transportation management, urban planning and tourism. Trajectory data are normally available as sample points. However, for many applications, meaningful patterns cannot be extracted from sample points without considering the background geographic information. In this paper we propose a novel framework for...

In this paper, we explore one aspect of knowledge discovery from simulators, the landscape characterization problem, where the aim is to identify regions in the input/parameter/model space that lead to a particular output behavior. Large-scale numerical simulators are in widespread use by scientists and engineers across a range of government agencies, academia, and industry; in many cases, simu...