Data analysts must make sense of increasingly large data sets, sometimes with billions or
more records. We present methods for interactive visualization of big data, following the …

Consider real-time exploration of large multidimensional spatiotemporal datasets with
billions of entries, each defined by a location, a time, and other attributes. Are certain …

In the last two decades, interactive visualization and analysis have become a central tool in
data-driven decision making. Concurrently to the contributions in data visualization …

Online analytical processing (OLAP) is a core functionality in database systems. The
performance of OLAP is crucial to make online decisions in many applications. However, it is …

Linked Data (LD) is a well-established standard for publishing and managing structured
information on the Web, gathering and bridging together knowledge from different scientific …

With the proliferation of mobile devices, large collections of geospatial data are becoming
available, such as geo-tagged photos. Map rendering systems play an important role in …

The massive adoption of smart phones and other mobile devices has generated humongous
amount of spatial and spatio-temporal data. The importance of spatial analytics and …

With the advent of location-based social networks, users can tag their daily activities in
different locations through check-ins. These check-in locations signify user preferences for …

Reading news with maps by exploiting spatial synonyms Page 1 64 COMMUNICATIONS OF THE
ACM | OCTOBER 2014 | VOL. 57 | NO. 10 contributed articles ILL US TRA TION B Y COHERENT …

The proliferation in amounts of generated data has propelled the rise of scalable machine
learning solutions to efficiently analyze and extract useful insights from such data …