Sökning: "clustering"
Visar resultat 6 - 10 av 591 avhandlingar innehållade ordet clustering.
6. Enhancing Short-Term Traffic Prediction for Large-Scale Transport Networks by Spatio-Temporal Clustering
Sammanfattning : Congestion in large cities is responsible for extra travel time, noise, air pollution, CO2 emissions, and more. Transport is one of the main recognized contributors to global warming and climate change, which is getting increasing attention from authorities and societies around the world. LÄS MER
7. Automatic sensor clustering : connectivity for the internet of things
Sammanfattning : Current predictions from industry envision that within a decade, the Internet will bepopulated by tens of billion of devices. Already today, smart Internet devices havesensors that provide an enormous potential for creating new applications. LÄS MER
8. Clustering Techniques for Mining and Analysis of Evolving Data
Sammanfattning : The amount of data generated is on rise due to increased demand for fields like IoT, smart monitoring applications, etc. Data generated through such systems have many distinct characteristics like continuous data generation, evolutionary, multi-source nature, and heterogeneity. LÄS MER
9. Self-Organizing Logical-Clustering Topology for Managing Distributed Context Information
Sammanfattning : Internet of Things (IoT) is on the verge of experiencing a paradigm shift, the focus of which is the integration of people, services, context information, and things in the Connected Society, thus enabling Internet of Everything (IoE). Hundreds of billions of things will be connected to IoT/IoE by 2020. LÄS MER
10. Clustering in the Big Data Era: methods for efficient approximation, distribution, and parallelization
Sammanfattning : Data clustering is an unsupervised machine learning task whose objective is to group together similar items. As a versatile data mining tool, data clustering has numerous applications, such as object detection and localization using data from 3D laser-based sensors, finding popular routes using geolocation data, and finding similar patterns of electricity consumption using smart meters. LÄS MER