As cities continue to burgeon, Urban Computing emerges as a pivotal discipline for
sustainable development by harnessing the power of cross-domain data fusion from diverse …

Massive amounts of data that contain spatial, textual, and temporal information are being
generated at a rapid pace. With streams of such data, which includes check-ins and geo …

Semantic-aware spatial keyword search is an important technique for digital map services.
However, existing indexing and search methods have limited pruning effect due to the high …

With the development of mobile Internet and the prevalence of sharing economy, spatial
crowdsourcing (SC) is becoming more and more popular and attracts attention from both …

Collective spatial keyword query (CSKQ) is one of the most useful spatial queries in location-
based service systems. Although the availability of large-scale activity trajectories has given …

In this paper, we present a comprehensive study that evaluates six state-of-the-art sentiment
analysis tools on five public datasets, based on the quality of predictive results in the …

The continued proliferation of location-based social media and ridesharing services brings
up the omnipresence of geo-textual data, which is often characterized by high arrival rates …

Multicomponent imaging is considered to have the potential to access microstructure
information, which is difficult to observe by common imaging methods in magnetic …

The continuous interaction of users and information aggregation has become a social
phenomena over massive social media platforms. However, the uncertainty of users' …

Software vendors aim to find, for a release of the software, an optimal subset of features that
gives the highest value while respecting the resource limitations. The value of a feature …