Editorial: mobile data management and analytics

Big Data Management and Analytics for Mobile Crowd Sensing

With the fast increasing popularity of mobile smart devices, mobile crowd sensing has become a new paradigm of applications that enables the ubiquitous mobile devices with enhanced sensing capabilities, such as smartphones and wearable devices, to collect and to share local information towards a common goal. Most of the smart devices are equipped with a rich set of cheap and powerful sensors, f...

Data Management and Big Data Text Analytics

-------------------------------------------------------------------ABSTRACT------------------------------------------------------------Big data is now one of the most important technology trends that have the potential for changing the way organizations transform massive amounts of data into knowledge. It is a combination of data-management technologies that have evolved over time. It enables o...

Special Section Guest Editorial: Management and Analytics of Remotely Sensed Big Data

Guest Editorial: Big Data Analytics and the Web

THE paper by Shao et al., “Clustering Big SpatiotemporalInterval Data,” focuses on clustering big spatiotemporal data, which are common in the emerging Web of Things (WoT), where a large number of sensors are deployed for continuously collecting data. The authors explore a novel way to cluster massive Web data with spatiotemporal intervals in multiple Euclidean spaces, as well as a new energy f...

Operational Analytics Data Management Systems

Prior to mid-2000s, the space of data analytics was mainly confined within the area of decision support systems. It was a long era of isolated enterprise data warehouses curating information from live data sources and of business intelligence software used to query such information. Most data sets were small enough in volume and static enough in velocity to be segregated in warehouses for analy...