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Intelligent Systems and Learning Data Analytics in Online Education provides novel artificial intelligence (AI) and analytics-based methods;
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how data mining and analytics work and how they can be applied within online learning systems to support education-related decision making.;
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Intelligent Data-Analytics for Condition Monitoring: Smart Grid Applications looks at intelligent and meaningful uses of data required;
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to focus on data analytics and image processing to develop good intelligent systems. To this end, readers of this volume will find quality;
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; Collaborative Learning; Design and Framework of Learning Systems; Instructional Strategies; Learning Analytics and Education Data Mining; Mind, Brain;
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Formative Assessment, Learning Data Analytics and Gamification: An ICT Education discusses the challenges associated with assessing student;
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Intelligent Data Analysis for e-Learning: Enhancing Security and Trustworthiness in Online Learning Systems addresses information security;
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mining, data science, intelligence for security, intelligent decision making systems, intelligent information processing, intelligent;
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mining, data science, intelligence for security, intelligent decision making systems, intelligent information processing, intelligent;
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The book aims to advance global knowledge and practice in applying data science to transform higher education learning and teaching to;
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, optimization and decision-making, intelligent mobility, and implementation of machine learning algorithms in embedded systems. This book focuses on the;
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before its completion, which is a growing problem in e-learning environments. Advancing the Power of Learning Analytics and Big Data in Education;
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>Presents extensive coverage of existing and forthcoming intelligent transportation systems and data analytics technologies
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computing. Big data analytics and cognitive machine learning, as well as cloud architecture, IoT and cognitive systems are explored, and mobile;
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-agent systems for health and education informatics, which inspire the development of intelligent information technologies. The contributions;
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-agent systems for health and education informatics, which inspire the development of intelligent information technologies. The contributions;
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in their evaluation and decision processes. Also, in education and learning, big data analytics is being used to enhance the learning process, to;
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in their evaluation and decision processes. Also, in education and learning, big data analytics is being used to enhance the learning process, to;
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Understand advanced data analytics concepts such as time series and principal component analysis with ETL, supervised learning, and PySpark;
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Understand advanced data analytics concepts such as time series and principal component analysis with ETL, supervised learning, and PySpark;
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learning methodologies; learning technologies, data analytics and educational big data mining as well as their applications; the challenge;
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papers include both theoretical and practical aspects of machine learning, data mining methods, deep learning, bioinformatics and health;
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learning and data miningOffers a multidisciplinary view of current and future challenges in this field, with extensive case studies on the;
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learn. Responsible Analytics and Data Mining in Education addresses the thoughtful and purposeful navigation, evaluation, and implementation;
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learn. Responsible Analytics and Data Mining in Education addresses the thoughtful and purposeful navigation, evaluation, and implementation;
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This book is a collection of best selected research papers presented at International Conference on Intelligent and Smart Computing in Data;
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intelligent big data analytics from a perspective of computing, service, and management. While highlighting topics including e-commerce, machine;
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