As today's organizations are capturing exponentially larger amounts of data than ever, now
is the time for organizations to rethink how they digest that data. Through advanced …

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 …

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 …

An inherent challenge arising in any dataset containing information of space and/or time is
uncertainty due to various sources of imprecision. Integrating the impact of the uncertainty is …

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 …

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

A large number of applications such as sensor networks, RFID-based monitoring systems,
mobile object management and location-based services manage data pervaded with …

A large number of applications manage uncertain data. Usually, users expect high quality
results when they pose queries with strict conditions over these data. However, as they may …

Avec l'ère de Big Data, les systèmes de gestion des données ont connu de multiple
développements technologiques de pointe permettant la gestion et l'exploitation de très …

In data management, uncertainty and lack of information are commonly considered as
hurdles to overcome. But when it comes to management of geosocial data, where data can …