Modeling and Processing for Next-Generation Big-Data Technologies With Applications and Case Studies /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Xhafa, Fatos (Επιμελητής έκδοσης), Barolli, Leonard (Επιμελητής έκδοσης), Barolli, Admir (Επιμελητής έκδοσης), Papajorgji, Petraq (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2015.
• Σειρά: Modeling and Optimization in Science and Technologies, 4
• Θέματα: Engineering.; Data mining.; Computational intelligence.; Electrical engineering.; Computational Intelligence.; Data Mining and Knowledge Discovery.; Communications Engineering, Networks.

This book covers the latest advances in Big Data technologies and provides the readers with a comprehensive review of the state-of-the-art in Big Data processing, analysis, analytics, and other related topics. It presents new models, algorithms, software solutions and methodologies, covering the ful...

Πίνακας περιεχομένων:

• 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.