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.

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.

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 full data cycle, from data gathering to their visualization and interaction, and includes a set of case studies and best practices. New research issues, challenges and opportunities shaping the future agenda in the field of Big Data are also identified and presented throughout the book, which is intended for researchers, scholars, advanced students, software developers and practitioners working at the forefront in their field.

Describes the state-of-the-art modeling and storage methods for large data sets and discusses current challenges for the development of next generation data technologies Includes benchmarking, applications and case studies Edited and written by leading experts in the field