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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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Big Data, Data Mining, And Machine Learning

process it isn't nearly enough to produce meaningful results. Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and;

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Data Science

, Machine Learning, and Big Data - That You Don't Data Science for Business: Predictive Modeling, Data Mining, Data Analytics, Data Warehousing;

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Information Management and Big Data

This book constitutes the refereed proceedings of the 5th International Conference on Information Management and Big Data, SIMBig 2018;

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Advances in Databases and Information Systems

from theoretical foundations to optimizing index structures. They focus on data mining and machine learning, data warehouses and big data;

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Web and Big Data

mining and data streams; query processing; topic modeling; machine learning; recommendation systems; distributed data processing and applications;

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Web and Big Data

mining and data streams; query processing; topic modeling; machine learning; recommendation systems; distributed data processing and applications;

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Machine Learning Technologies and Applications

intelligence, machine learning, data mining and big data computing, cloud computing, Internet of things, distributed computing and smart systems.;

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Data Mining and Machine Learning in Cybersecurity

With the rapid advancement of information discovery techniques, machine learning and data mining continue to play a significant role;

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Data Science

This book, Data Science: What the Best Data Scientists Know About Data Analytics, Data Mining, Statistics, Machine Learning, and Big Data;

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Information Management and Big Data

This book constitutes the refereed proceedings of the 6th International Conference on Information Management and Big Data, SIMBig 2019;

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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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Data Mining

Data Mining: Practical Machine Learning Tools and Techniques, Third Edition, offers a thorough grounding in machine learning concepts;

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Big Data Analytics

sections named: big data analytics: vision and perspectives; financial data analytics and data streams; web and social media data; big data systems;

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Smart Data

related to smart data computing and applications, including new computing theories, data mining and machine learning techniques. The book features;

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The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy

, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical;

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The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy

, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical;

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Applications of Machine Learning in Wireless Communications

. Applications of machine learning in wireless communications have been receiving a lot of attention, especially in the era of big data and IoT, where;

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Smart Data

related to smart data computing and applications, including new computing theories, data mining and machine learning techniques. The book features;

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Big Data Analytics

organized in topical sections named: big data analytics: vision and perspectives; search and information extraction; predictive analytics in medical;

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Data Science and Security

learning, computer vision, algorithms design, computer networking, data mining, big data, text mining, knowledge representation, soft computing and;

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Information Management and Big Data

This book constitutes the refereed proceedings of the 7th International Conference on Information Management and Big Data, SIMBig 2020;

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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, Big Data, and IoT for Medical Informatics

Machine Learning, Big Data, and IoT for Medical Informatics focuses on the latest techniques adopted in the field of medical informatics;

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Healthcare Data Analytics and Management

of machine learning, data mining, data management, and healthcare providers, along with clinical researchers and physicians who are interested in the;

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Big Data and Machine Learning in Quantitative Investment

Get to know the 'why' and 'how' of machine learning and big data in quantitative investment Big Data and Machine Learning;

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