Başlık:
Modeling and Processing for Next-Generation Big-Data Technologies With Applications and Case Studies
Yazar:
Xhafa, Fatos. editor.
ISBN:
9783319091778
Basım Bilgisi:
1st ed. 2015.
Fiziksel Tanımlama:
XX, 516 p. 219 illus., 52 illus. in color. online resource.
Seri:
Modeling and Optimization in Science and Technologies, 4
İçerik:
Exploring the Hamming distance in distributed infrastructures for similarity search -- Data Modeling for Socially-Based Routing in Opportunistic Networks -- Decision Tree Induction Methods and Their Application to Big Data -- Sensory Data Gathering for Road-Traffic Monitoring: Energy Efficiency, Reliability and Fault-tolerance -- Data aggregation and forwarding route control for efficient data gathering in dense mobile wireless sensor networks -- A socialized system for enabling the extraction of potential values from natural and social sensing -- Leveraging High Performance Computing Infrastructures to Web Data Analytic Applications by means of Message-Passing Interface -- ReHRS: A Hybrid Redundant System for Improving MapReduce Reliability and Availability -- Analysis and Visualization of Large Scale Time Series Network Data -- Parallel Coordinates Version of Time-tunnel (PCTT) and Its Combinatorial Use for Macro to Micro Level Visual Analytics of Multidimensional Data -- Towards a Big Data Analytics Framework for IoT and Smart City Applications -- How the big data is leading the evolution of ICT technologies and processes -- Big Data, Unstructured Data and the Cloud: Perspectives on Internal -- Future Human-Centric Smart Environments -- Automatic Configuration of Mobile Applications using Context-Aware Cloud Based Services -- Socialized system for enabling to extract potential 'values' from natural and social sensing data -- Providing crowd-sourced and real-time media services through a NDN-based platform -- Linked Open Data for Smarter Cities -- Benchmarking Internet of Things Deployment: Frameworks, Best Practices and Experiences.
Tüzel Kişi Ek Girişi:
Elektronik Erişim:
https://doi.org/10.1007/978-3-319-09177-8Kopya:
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