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Big Data in Materials Research and Development is the summary of a workshop convened by the National Research Council Standing Committee on;
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methodology and software development, including how to discover meaningful patterns in the vast amounts of data. Addressing these problems, Applied;
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development of big data while also helping to overcome security and privacy challenges. The author investigates research into and the application;
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, the development of software methods, techniques and tools, applications and governance, and adoption strategies for the use of big data;
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emerging developments in technologies, applications, and trends related to management's needs in this Big Data era. -Dr. Jay Liebowitz;
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> Despite the substantial progress, the research community still needs a holistic, comprehensive big data SSM to use in almost every scientific and;
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or pertinent information.The papers are organized in 10 cohesive sections covering all major topics of the research and development of data;
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following five themes: - Research and materials development; - Data collection and materials development; - Methodology and materials development;
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big data research. The book also discusses big data and differential pricing.;
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this demand and this increase in big data, there needs to be research on innovative and optimized machine learning algorithms in both large;
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this demand and this increase in big data, there needs to be research on innovative and optimized machine learning algorithms in both large;
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This book is a compendium of the proceedings of the International Conference on Big-Data and Cloud Computing. The papers discuss the recent;
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research utilizing social media and geospatial big data. It describes various forms of social media and big data with location information, theory;
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This joint publication explores how big data and digitalization can support sustainable tourism development and help revitalize and reshape;
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BIM-based and data-analytic research on cognitive IoT for smart buildings and cognitive cities using big data and machine learning as complex;
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Fundamentals of Big Data Network Analysis for Research and Industry Hyunjoung Lee, Institute of Green Technology, Yonsei University;
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Big data consists of data sets that are too large and complex for traditional data processing and data management applications. Therefore;
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surrounding the development of psychiatric disorders Analyzes methods in using big data to treat psychiatric and neurological disorders
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information than ever before on human cognition, emotion, attitudes, and behavior. Big Data in Psychological Research addresses the opportunities and;
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carefully reviewed and selected from 256 submissions. The papers are organized in topical sections on big data management and applications; social;
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simulation method in Sociology Research, Research and development of new social computing tools. With the rapid development of information;
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for big data and how it has been used to solve large-scale research problems in a multitude of disciplines.;
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for big data and how it has been used to solve large-scale research problems in a multitude of disciplines.;
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Explains the mathematics, theory, and methods of Big Data as applied to finance and investing Data science has fundamentally changed;
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book explores the problems, possible solutions and directions for Big Data in research and practice. It also focuses on high level concepts;
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