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Intelligence Science and Big Data Engineering. Big Data and Machine Learning

submissions.The papers are organized in two parts: visual data engineering; and big data and machine learning. They cover a large range of topics;

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Intelligence Science and Big Data Engineering. Visual Data Engineering

submissions.The papers are organized in two parts: visual data engineering; and big data and machine learning. They cover a large range of topics;

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Machine Learning Technologies and Applications

field of computer science with a special focus on the machine learning and big data. The book focuses on advanced topics in artificial;

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Foundations of Data Science for Engineering Problem Solving

problems. Machine learning and optimizing techniques provide strong insights into novice users. In the era of big data, there is a need to deal;

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Foundations of Data Science for Engineering Problem Solving

problems. Machine learning and optimizing techniques provide strong insights into novice users. In the era of big data, there is a need to deal;

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Recent Advances in Artificial Intelligence and Data Engineering

, cloud computing, machine vision and robotics, ambient intelligence, intelligent transportation, sensing and sensor networks, big data challenge;

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Machine Learning and Big Data Analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021)

This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2021) is intended to be used as a reference book for;

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Machine Learning and Big Data Analytics Paradigms

This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered;

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Machine Learning for Big Data Analysis

, visualization, querying, updating and information privacy. Big data analytics is the process of examining large and varied data sets - i.e., big;

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Blockchain, Big Data and Machine Learning

Present book covers new paradigms in Blockchain, Big Data and Machine Learning concepts including applications and case studies. It;

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Proceedings of International Conference on Big Data Machine Learning and their

This book contains high-quality peer-reviewed papers of the International Conference on Big Data, Machine Learning and their Applications;

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Intelligent Systems in Big Data, Semantic Web and Machine Learning

for researchers and doctoral students in data analysis, Semantic Web, big data, machine learning, computer engineering and related disciplines;

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Pattern Recognition and Machine Intelligence

processing; soft and natural computing; speech and natural language processing; bioinformatics and computational biology; data mining and big data;

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Multimodal Analytics for Next-Generation Big Data Technologies and Applications

data; unsupervised learning strategies for big multimodal data; supervised learning strategies for big multimodal data; and multimodal big data;

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Smart Data

research in big data and smart computing Provides a broad coverage of topics in data science and machine learning;

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Smart Data

in big data and smart computing Provides a broad coverage of topics in data science and machine learning Combines computing;

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Big Data and Artificial Intelligence for Healthcare Applications

This book covers a wide range of topics on the role of Artificial Intelligence, Machine Learning, and Big Data for healthcare applications;

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Innovations in Computer Science and Engineering

research in data science and analytics, cloud computing, machine learning, data mining, big data and analytics, information security and privacy;

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Big Data: A Guide to Big Data Trends, Artificial Intelligence, Machine Learning, Predictive Analytics, Internet of Things, Data

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Proceedings of International Conference on Data Science and Applications

developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking;

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Big Data Analytics for Sustainable Computing

learning, and network analytics. As the study of big data becomes more popular, there is an urgent demand for studies on high-level computational;

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Engineering Analytics

control towers. Basic methods in the areas of visual, descriptive, predictive, and prescriptive analytics and Big Data are introduced;

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Big Data and Differential Privacy

predictive analytics, machine learning, and data mining Explores issues of big data and differential privacy and discusses the various advantages and;

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Big Data, IoT, and Machine Learning

The idea behind this book is to simplify the journey of aspiring readers and researchers to understand Big Data, IoT and Machine Learning;

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Applications of Machine Learning in Big-Data Analytics and Cloud Computing

the vast quantities of data. In Cloud and Big Data Analytics, the two areas of Swarm Intelligence and Deep Learning are a developing type;

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The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy

This book presents the proceedings of the 2020 2nd International Conference on Machine Learning and Big Data Analytics for IoT Security and;

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Big Data, Machine Learning, and Applications

This book constitutes refereed proceedings of the First International First International Conference on Big Data, Machine Learning, and;

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