Big Data: Concepts, Methodologies, Tools, and Applications, Volume I
- 13h 57m
- Information Resources Management Association (IRMA)
- IGI Global
- 2016
The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data.
Big Data: Concepts, Methodologies, Tools, and Applications is a multi-volume compendium of research-based perspectives and solutions within the realm of large-scale and complex data sets. Taking a multidisciplinary approach, this publication presents exhaustive coverage of crucial topics in the field of big data including diverse applications, storage solutions, analysis techniques, and methods for searching and transferring large data sets, in addition to security issues. Emphasizing essential research in the field of data science, this publication is an ideal reference source for data analysts, IT professionals, researchers, and academics.
In this Book
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Big Data Overview
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Big Data Predictive and Prescriptive Analytics
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Big Data Computing and the Reference Architecture
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A Holistic View of Big Data
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A Review of RDF Storage in NoSQL Databases
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On Efficient Acquisition and Recovery Methods for Certain Types of Big Data
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Big Data and Data Modelling for Manufacturing Information Systems
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Information Visualization and Policy Modeling
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The Performance Mining Method—Extracting Performance Knowledge from Software Operation Data
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Aspects regarding Detection of Sentiment in Web Content
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The Interoperability of US Federal Government Information—Interoperability
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Big Data and Web Intelligence—Improving the Efficiency on Decision Making Process via BDD
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Big Data Security Management
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Feature–Based Uncertainty Visualization
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Big Data – Small World—Materializing Digital Information for Discourse and Cognition
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Philosophising Data—A Critical Reflection on the ‘Hidden’ Issues
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Big Data Architecture—Storage and Computation
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Big Data at Scale for Digital Humanities—An Architecture for the HathiTrust Research Center
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Construct a Bipartite Signed Network in YouTube
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Rapid Development of Service–Based Cloud Applications—The Case of the Cloud Application Platforms
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Modeling Big Data Analytics with a Real–Time Executable Specification Language
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A Hierarchical Security Model for Multimedia Big Data
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Big Data Warehouse Automatic Design Methodology
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Visualization in Learning—Perception, Aesthetics, and Pragmatism
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A Cognitive Analytics Management Framework (CAM–Part 3)—Critical Skills Shortage, Higher Education Trends, Education Value Chain Framework, Government Strategy
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Big Data Paradigm for Healthcare Sector
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Knowledge as a Service Framework for Collaborative Data Management in Cloud Environments – Disaster Domain
