With the increasing penetration of traditional and emerging information technologies in the
electric power industry, together with the rapid development of electricity market reform, the …

Density-based method has emerged as a worthwhile class for clustering data streams.
Recently, a number of density-based algorithms have been developed for clustering data …

The detection of city hotspots from geo-referenced urban data is a valuable knowledge
support for planners, scientists, and policymakers. However, the application of classic …

Radar signal sorting is the core part of electronic support measures, which is responsible for
deinterleaving the overlap** pulse sequences received by the receiver from the complex …

The increasing pervasiveness of ICT technologies and sensor infrastructures is enabling
police departments to gather and store increasing volumes of spatio-temporal crime data …

The new emerging technologies utilize various sensors, deployed in an ad‐hoc manner to
reduce energy consumption in data communication. The data collected from these sensors …

At this present time, the significance of data streams cannot be denied as many researchers
have placed their focus on the research areas of databases, statistics, and computer …

At recent years, Wireless Sensor Networks (WSNs) had a widespread range of applications
in many fields related to military surveillance, monitoring health, observing habitat and so …

Data stream is relatively new and emerging domain in the current era of Internet
advancement. Clustering data streams is equally important and difficult because of the …

The widespread deployment of WSNs and the need for data aggregation require efficient
organization of the network topology to balance the load and extend the network lifetime …