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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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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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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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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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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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Big Data and Differential Privacy

practical introduction to state-of-the-art data analysis for railway track engineering, Big Data and Differential Privacy: Analysis Strategies for;

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Proceedings of International Conference on Data Science and Applications

This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2019), held at;

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Computational Methods and Data Engineering

transportation systems, fuzzy systems, data privacy and security, data mining, data warehousing, big data analytics, cloud computing, natural language;

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Computational Methods and Data Engineering

transportation systems, fuzzy systems, data privacy and security, data mining, data warehousing, big data analytics, cloud computing, natural language;

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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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Multimodal Analytics for Next-Generation Big Data Technologies and Applications

This edited book will serve as a source of reference for technologies and applications for multimodality data analytics in big data;

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Proceedings of International Conference on Computational Intelligence and Data E

, ant colony optimization, data privacy and security, data mining, data warehousing, big data analytics, cloud computing, natural language;

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Metasynthetic Computing and Engineering of Complex Systems

, complex behavioural and social problems, and actionable knowledge discovery and delivery in the big data era. * Discusses ubiquitous intelligence;

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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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Data Science in Chemistry

insights and take chemical research and engineering to the next level. It covers modern aspects like Big Data, Artificial Intelligence and Quantum;

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Handbook of Big Data Analytics: Applications in ICT, security and business analytics

Big Data analytics is the complex process of examining big data to uncover information such as correlations, hidden patterns, trends and;

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Handbook of Big Data Analytics: Methodologies

Big Data analytics is the complex process of examining big data to uncover information such as correlations, hidden patterns, trends and;

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Proceedings of International Conference on Advances in Computer Engineering and Communication Systems

collaborative innovation. The book focuses on advanced topics in artificial intelligence, machine learning, data mining and big data computing, cloud;

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Handbook of Data Science Approaches for Biomedical Engineering

progress and the ways they are aligning with the latest technologies in IoT and big data. In addition, the book includes various real-time/offline;

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Big Data in Engineering Applications

This book presents the current trends, technologies, and challenges in Big Data in the diversified field of engineering and sciences. It;

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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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Proceedings of International Scientific Conference on Telecommunications Comput

and big data, data visualization and graphics systems, distributed, cloud and high-performance computing, and software engineering. The papers;

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Intelligent Science and Intelligent Data Engineering

This book constitutes the proceedings of the third Sino-foreign-interchange Workshop on Intelligence Science and Intelligent Data;

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Big Data Analytics and Computing for Digital Forensic Investigations

cybercrime, with the main objective of describing a variety of digital crimes and retrieving potential digital evidence. Big Data Analytics and;

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Deep Learning and Missing Data in Engineering Systems

undergraduate and postgraduate students studying topics in computational intelligence and big data, can also use the book as a reference for identifying;

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Artificial Intelligence and Data Mining in Healthcare

This book presents recent work on healthcare management and engineering using artificial intelligence and data mining techniques. Specific;

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