Locations, eg, countries, states, cities, and point-of-interests, are central to news, emergency
events, and people's daily lives. Automatic identification of locations associated with or …

Although place-based investigations into human phenomena have been widely conducted
in the social sciences over the last decades, this notion has only recently transgressed into …

Background: The recent rise in popularity and scale of social networking services (SNSs)
has resulted in an increasing need for SNS-based information extraction systems. A popular …

Navigation in unfamiliar cities often requires frequent map checking, which is troublesome
for wayfinders. We propose a novel approach for improving real-world navigation by …

Microblogging has been recently used for detecting common opinions of users at different
geographic places. In this paper we propose a novel spatial visualization system for …

Benford's Law explains a curious phenomenon in which the leading digits of" naturally-
occurring" numerical data are distributed in a precise fashion. In this paper we begin by …

Frequent pattern mining is an important data mining task. Since its introduction, it has drawn
attention from many researchers. Consequently, many frequent pattern mining algorithms …

Prior knowledge about the SNS (Social Network Services) datasets is often required to
conduct valuable analysis using social media data. Understanding the characteristics of the …