With the surging of smartphone sensing, wireless networking, and mobile social networking
techniques, Mobile Crowd Sensing and Computing (MCSC) has become a promising …

Urban big data fusion creates huge values for urban computing in solving urban problems.
In recent years, various models and algorithms based on deep learning have been …

With the recent surge of location based social networks (LBSNs), activity data of millions of
users has become attainable. This data contains not only spatial and temporal stamps of …

Traditional data mining usually deals with data from a single domain. In the big data era, we
face a diversity of datasets from different sources in different domains. These datasets …

Ensemble clustering has been a popular research topic in data mining and machine
learning. Despite its significant progress in recent years, there are still two challenging …

Culture has been recognized as a driving impetus for human development. It co-evolves
with both human belief and behavior. When studying culture, Cultural Mapping is a crucial …

Bike sharing is booming globally as a green transportation mode, but the occurrence of over-
demand stations that have no bikes or docks available greatly affects user experiences …

Community detection is an important research area in social networks analysis where we
are concerned with discovering the structure of the social network. Detecting communities is …

The research of collective behavior has attracted a lot of attention in recent years, which can
empower various applications, such as recommendation systems and intelligent …

Location-based social networks (LBSNs) have been studied extensively in recent years.
However, utilizing real-world LBSN data sets yields several weaknesses: sparse and small …