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Applications of Data Centric Science to Social Design

The intention behind this book is to illustrate the deep relation among human behavior, data-centric science, and social design. In fact;

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Urban Computing

concrete methodologies in a data-centric computing framework. This authoritative treatment of urban computing offers an overview of the field;

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Data Science

in the area of data science. This book can prove useful to the researchers, professors, research students and practitioners as it reports novel;

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Text as Data

challenges of social science remain. Overview of how to use text as data Research design for a world of data deluge Examples from;

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Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications

highlights recent research on representative techniques to elaborate how a data-centric system formed a powerful platform for the processing of cloud;

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Text as Data: A New Framework for Machine Learning and the Social Sciences

challenges of social science remain. Overview of how to use text as data Research design for a world of data deluge Examples from;

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Data Science and Big Data: An Environment of Computational Intelligence

applications, especially those addressing the immediate need to deal with large repositories of data and building tangible, user-centric models;

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Human-Centric Decision-Making Models for Social Sciences

The volume delivers a wealth of effective methods to deal with various types of uncertainty inherently existing in human-centric decision;

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Data-Centric Biology

methods to produce, store, distribute, and interpret huge amounts of data. In Data-Centric Biology, Sabina Leonelli probes the implications;

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Research Methods in the Social Sciences

in social science. It offers a carefully integrated treatment of its components; research theory, design, data collection and data analysis; and;

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Data Science

, convolutional neural networks, knowledge storage, data stream classification, and security in social networking. The respective papers highlight a;

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Applied Data Centric Social Sciences

Applied data-centric social sciences aim to develop both methodology and practical applications of various fields of social sciences and;

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Data Science and Analytics

submissions. The papers are organized in topical sections on big data analysis, data centric programming, next generation computing, social and web;

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Extending the Boundaries of Design Science Theory and Practice

Research Applications in Healthcare; Design Science Research Applications in Data Science; and Design Science Research Applications in Emerging;

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Computer Science and its Applications

applications, including ubiquitous computing, U-Health care system, Big Data, UI/UX for human-centric computing, Computing Service, Bioinformatics and;

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Storage and Retrieval of Xml Documents with a Cluster of Database Systems

-centric settings in addition to data-centric ones. This book presents an XML engine for storage and retrieval of XML documents which covers the;

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Advanced Studies in Classification and Data Science

, dimensionality reduction, data visualization, multivariate statistical methods, and various applications to real data in the social sciences, medical;

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Secure Data Science: Integrating Cyber Security and Data Science

for secure data science, it looks at applications of secure data science to information sharing and social media. This book is a useful;

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Graph-Powered Machine Learning

in machine learning and big data platforms. You'll get an in-depth look at techniques including data source modeling, algorithm design, link analysis;

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Data Science and Analytics

carefully reviewed and selected from total 353 submissions. The papers are organized in topical sections on data centric programming; next;

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Data Science and Analytics

were carefully reviewed and selected from total 353 submissions. The papers are organized in topical sections on data centric programming; next;

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Sustainable Intelligent Systems

their applications to move from a data-centric world to sustainable world. It includes research paradigms on sustainable development goals and;

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Advanced Studies in Behaviormetrics and Data Science

reduction, visualization of such data, multivariate statistical methods, analysis of asymmetric relational data, and various applications to real;

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Advanced Studies in Behaviormetrics and Data Science

reduction, visualization of such data, multivariate statistical methods, analysis of asymmetric relational data, and various applications to real;

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Creativity in Intelligent Technologies and Data Science

improvement process; data science in energy management, transportation and urban development; data science in social networks analysis; natural;

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Data Science and Its Applications

Analysis, Image Captioning, Gene Analysis and Scene Text Analysis Data Optimization Due to multidisciplinary applications of data;

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Process-Centric Architecture for Enterprise Software Systems

leverage BPM-based software and process-centric architecture (PCA) to create software systems that enable essential business processes. Reflecting;

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