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Big Data Analytics Using Multiple Criteria Decision-Making Models

Multiple Criteria Decision Making (MCDM) is a subfield of Operations Research, dealing with decision making problems. A decision-making;

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Big Data Analytics Using Multiple Criteria Decision-Making Models

Multiple Criteria Decision Making (MCDM) is a subfield of Operations Research, dealing with decision making problems. A decision-making;

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New Concepts and Trends of Hybrid Multiple Criteria Decision Making

trend of big-data analytics in supporting decision making, MCDM can be more powerful when combined with state-of-the-art analytics and machine;

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Big Data Analytics

. The fourth part of the book examines analytics for marketing decision-making and the roles of big data analytics for market intelligence and;

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Big Data Analytics

. The fourth part of the book examines analytics for marketing decision-making and the roles of big data analytics for market intelligence and;

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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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Distributed Computing in Big Data Analytics

decision making. Principles of distributed computing are the keys to big data technologies and analytics. The mechanisms related to data storage;

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Business Analytics for Decision Making

, understanding, and decision making. Business analytics is about using data and models to solve various kinds of decision problems. There are three;

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Big Data, Mining, and Analytics

, Mining, and Analytics: Components of Strategic Decision Making ties together big data, data mining, and analytics to explain how readers can;

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Big Data, Mining, and Analytics

, Mining, and Analytics: Components of Strategic Decision Making ties together big data, data mining, and analytics to explain how readers can;

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Data Analytics in Biomedical Engineering and Healthcare

structure prediction using predictive modeling. Case studies demonstrate big data applications in healthcare using the MapReduce and Hadoop;

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Machine Learning in Cognitive IoT

). Machine learning is explored by covering all the technical issues and various models used for data analytics during decision making at different;

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Multi-Criteria Decision Analysis in Management

Multi-criteria decision making (MCDM) has been extensively used in diverse disciplines, with a variety of MCDM techniques used to solve;

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Multi-Criteria Decision Analysis in Management

Multi-criteria decision making (MCDM) has been extensively used in diverse disciplines, with a variety of MCDM techniques used to solve;

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Decision Intelligence Analytics and the Implementation of Strategic Business Management

collection to data warehousing, analysis, and decision making. The authors examine best practices in team analytics strategies such as player;

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Data Science and Multiple Criteria Decision Making Approaches in Finance

This book considers and assesses essential financial issues by utilizing data science and fuzzy multiple criteria decision making (MCDM;

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Data Science and Multiple Criteria Decision Making Approaches in Finance

This book considers and assesses essential financial issues by utilizing data science and fuzzy multiple criteria decision making (MCDM;

Vergelijkbare producten zoals Data Science and Multiple Criteria Decision Making Approaches in Finance

Multiple Criteria Decision Making

International Conference on Multiple Criteria Decision Making (MCDM 2019), held in Istanbul, Turkey.;

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Decision Support, Analytics, and Business Intelligence

data and how is it useful? What is business intelligence? How can predictive analytics support decision making? What is the impact of decision;

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Integration Challenges for Analytics, Business Intelligence, and Data Mining

analytics systems. Covering topics that include big data, artificial intelligence, and decision making, this book is an ideal reference source for;

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Big Data and Business Analytics

being data-rich to insight-rich, improving your decision making and creating competitive advantage. Author Jay Liebowitz recently had an;

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Big Data on Campus

How data-informed decision making can make colleges and universities more effective institutions. The continuing importance of data;

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Reliability and Risk Modeling of Engineering Systems

effects analysis, fuzzy set theory, petri-net, multi-criteria decision-making (MCDM), and soft computing are used for solving problems;

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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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Decision Support Systems V - Big Data Analytics for Decision Making

, held in Belgrade, Serbia, in May 2015. The theme of the event was Big Data Analytics for Decision-Making and it was organized by the EURO;

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Data Analytics in the Era of the Industrial Internet of Things

creation, heightened agility to respond to continuously changing challenges, and intensified data-driven decision making. In a straightforward;

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