This document presents a method to design scalable and representative moving object data
(MOD) and two sets of queries for benchmarking spatio-temporal DBMS. Instead of …

As the prevalence of social media and GPS-enabled devices, a massive amount of geo-
textual data has been generated in a stream fashion, leading to a variety of applications …

Top-k spatial preference queries return a ranked set of the k best data objects based on the
scores of feature objects in their spatial neighborhood. Despite the wide range of location …

Social content, such as Twitter updates, often have the quickest first-hand reports of news
events, as well as numerous commentaries that are indicative of public view of such events …

We study the problem of continuous monitoring of top-k queries over multiple non-
synchronized streams. Assuming a sliding window model, this general problem has been a …

With the prevalence of social media and GPS-enabled devices, a massive amount of geo-
textual data have been generated in a stream fashion, leading to a variety of applications …

Continuous top-k query over streaming data is a fundamental problem in database. In this
paper, we focus on the sliding window scenario, where a continuous top-k query returns the …

Web 2.0 portals have made content generation easier than ever with millions of users
contributing news stories in form of posts in weblogs or short textual snippets as in Twitter …

The explosive growth of user-generated contents in social networking websites necessitates
the recommendation functionality that can push to the user the content that he/she is most …

Real-time analytics of anomalous phenomena on streaming data typically relies on
processing a large variety of continuous outlier detection requests, each configured with …