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Health Data Processing

future decision-makers in the field of health information systems. Users will find sections on the question of reusing data for other purposes;

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Production Yearbook 2000

agricultural production across all countries and continents for the years 1989-2000. The data are disseminated to serve the needs of scholars;

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Data Science for Social Good

This book is a collection of reflections by thought leaders at first-mover organizations in the exploding field of Data Science for Social;

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Data Science for Business and Decision Making

than existing books by applying data to decision making. Not only is the book useful for undergraduates, but it can also help business owners;

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Relational Calculus for Actionable Knowledge

, but, until now, the patterns discovered from data have not always been 'actionable' for decision-makers in Socio-Technical Organizations (STO;

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Public Policy Analytics

Public Policy Analytics: Code & Context for Data Science in Government teaches readers how to address complex public policy problems with;

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Public Policy Analytics

Public Policy Analytics: Code & Context for Data Science in Government teaches readers how to address complex public policy problems with;

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Machine Learning for Intelligent Decision Science

The book discusses machine learning-based decision-making models, and presents intelligent, hybrid and adaptive methods and tools for;

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Machine Learning for Intelligent Decision Science

The book discusses machine learning-based decision-making models, and presents intelligent, hybrid and adaptive methods and tools for;

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Data Mining and Decision Support

to help decision-makers solve problems. Decision support provides a selection of data analysis, simulation, visualization and modeling;

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Fundamentals of Clinical Data Science

excellence and value-based healthcare. Fundamentals of Clinical Data Science is an essential resource for healthcare professionals and IT consultants;

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Data Analytics and Decision Support for Cybersecurity

higher demand for effective data-driven models that support decision-making at a strategic level. This motivates the need for defining novel data;

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Management Decision-Making, Big Data and Analytics

An exciting new textbook examining big data and business analytics to look at how they can help managers become more effective decision;

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Management Decision-Making, Big Data and Analytics

An exciting new textbook examining big data and business analytics to look at how they can help managers become more effective decision;

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Evidence-Based Decision-Making

Evidence-Based Decision-Making: How to Leverage Available Data and Avoid Cognitive Biases examines how a wide range of factual evidence;

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Statistical Analysis for Decision Makers in Healthcare

rely on data provided by insurance companies, consultants, research firms, and the federal government to help them make a host of decisions;

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Modeling Decisions for Artificial Intelligence

This book constitutes the refereed proceedings of the 16th International Conference on Modeling Decisions for Artificial Intelligence, MDAI;

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Applied Data Science

provides a common understanding of data science terminology for readers with different backgrounds. These six chapters are geared towards drawing a;

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Data Science & Business Analytics

perspectives on how big data and business analytics are increasingly essential in better decision making. This edited work explores the;

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Data Science

and relationships to aid important decisions and predictions. Data Science has become an essential tool to extract value from data;

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Strategic Management Decision Theory and Decision Science

This book contains international perspectives that unifies the themes of strategic management, decision theory, and data science. It;

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Data-Based Decision Making and Digital Transformation

decisions to reinvent a business. Equally important all decision makers must learn to ask the right questions, use data and computer support;

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Data Science for Wind Energy

Data Science for Wind Energy provides an in-depth discussion on how data science methods can improve decision making for wind energy;

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Data Science for Wind Energy

Data Science for Wind Energy provides an in-depth discussion on how data science methods can improve decision making for wind energy;

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Handbook of Data-Based Decision Making in Education

as a guide to data-based decision making. The Handbook of Data-Based Decision Making in Education is a must read for researchers who are;

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