The tremendous growth of event dissemination over social networks makes it very
challenging to accurately discover and track exciting events, as well as their evolution and …

The advancements of sensing technologies, including remote sensing, in situ sensing,
social sensing, and health sensing, have tremendously improved our capability to observe …

Many predictive tasks of web applications need to model categorical variables, such as user
IDs and demographics like genders and occupations. To apply standard machine learning …

With the ever-increasing urbanization process, systematically modeling people's activities in
the urban space is being recognized as a crucial socioeconomic task. This task was nearly …

Detecting local events (eg, protest, disaster) at their onsets is an important task for a wide
spectrum of applications, ranging from disaster control to crime monitoring and place …

Modern cities are facing critical environmental and social problems that are difficult to solve
using conventional planning approaches due to the cities' magnitude and complexity …

Social networks are critical sources for event detection thanks to the characteristics of
publicity and dissemination. Unfortunately, the randomness and semantic sparsity of the …

With the broad adoption of mobile devices, notably smartphones, keyword-based search for
content has seen increasing use by mobile users, who are often interested in content related …

Nowadays, airline ticket prices can vary dynamically and significantly for the same flight,
even for nearby seats within the same cabin. Customers are seeking to get the lowest price …

The availability of massive geo-annotated social media data sheds light on studying human
mobility patterns. Among them, periodic pattern,\ie an individual visiting a geographical …