It is aware that big data has gathered tremendous attentions from academic research
institutes, governments, and enterprises in all aspects of information sciences. With the …

Both the current trends in technology such as smart phones, general mobile devices,
stationary sensors, and satellites as we as a new user mentality of using this technology to …

Dynamic ride sharing is a service that enables shared vehicle rides in real time and on short
notice. It can be an effective solution to counter the problem of increasing traffic jams at peak …

Nearest neighbor (NN) queries in trajectory databases have received significant attention in
the past, due to their application in spatio-temporal data analysis. Recent work has …

Location-related data has a tremendous impact in many applications of high societal
relevance and its growing volume from heterogeneous sources is one true example of a Big …

Our ability to extract knowledge from evolving spatial phenomena and make it actionable is
often impaired by unreliable, erroneous, obsolete, imprecise, sparse, and noisy data …

The problem of studying the effective contact between different moving objects (MOs) has
received great interest in recent years. However, the uncertain nature of trajectory data …

Reverse nearest neighbor (RNN) queries in spatial and spatio-temporal databases have
received significant attention in the database research community over the last decade. A …

With spatiotemporal applications increasing, a large amount of spatiotemporal data
emerges. Because temporal and spatial attributes are often vague, research on fuzzy …

This work addresses the problem of efficient detection and fixing of inconsistencies in spatio-
temporal databases. In contrast to traditional database settings, where integrity constraints …