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Recent Trends in Learning from Data: Tutorials from the Inns Big Data and Deep Learning Conference (Innsbddl2019)

tutorials presented at the INNS Big Data and Deep Learning Conference, INNSBDDL2019, held on April 16-18, 2019, in Sestri Levante, Italy, the;

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Recent Trends in Learning From Data

tutorials presented at the INNS Big Data and Deep Learning Conference, INNSBDDL2019, held on April 16-18, 2019, in Sestri Levante, Italy, the;

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The International Conference on Deep Learning, Big Data and Blockchain (Deep-BDB 2021)

The role of deep learning for the analysis and learning of massive amounts of data from all aspects of daily-life has dramatically changed;

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Proceedings of International Conference on Big Data Machine Learning and Applic

This book covers selected high-quality research papers presented at the International Conference on Big Data, Machine Learning, and;

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Advances in Big Data

, depicts an interesting collaborative adventure of neural networks with big data and other learning technologies.;

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Future and Emerging Trends in Language Technology. Machine Learning and Big Data

carefully reviewed and selected from 18 submissions. In 2016 the conference focused on Machine Learning and Big Data.;

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Web and Big Data APWeb WAIM 2020 International Workshops

International Joint Conference on Web and Big Data, APWeb-WAIM 2020: The Third International Workshop on Knowledge Graph Management and Applications;

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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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Trends in Deep Learning Methodologies

predictions about future events. The major advantage of deep learning is to process big data analytics for better analysis and self-adaptive;

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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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Data Mining and Big Data

This book constitutes the refereed proceedings of the Second International Conference on Data Mining and Big Data, DMBD 2017, held;

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Cloud Computing, Big Data & Emerging Topics

of 36 submissions. The papers are organized in topical sections of cloud computing and HPC; Big Data and machine and deep learning. *The;

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Discovery Science

includes the development and analysis of methods for discovering scientific knowledge, coming from machine learning, data mining, intelligent data;

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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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Intelligent Data Engineering and Automated Learning - IDEAL 2016

This book constitutes the refereed proceedings of the 17 International Conference on Intelligent Data Engineering and Automated Learning;

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

engineering. Machine learning and Big data analytics represent a key ingredients in the industrial applications for new products and services. Big;

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Advanced Deep Learning Applications in Big Data Analytics

constructed in order to parse and analyze all this data to facilitate the exchange of information. However, big data has suffered from problems;

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e-Learning, e-Education, and Online Training

modernization, such as artificial intelligence and big data. The theme of eLEOT 2020 was Education with New Generation Information Technology .;

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e-Learning, e-Education, and Online Training

modernization, such as artificial intelligence and big data. The theme of eLEOT 2020 was Education with New Generation Information Technology .;

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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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Multi-disciplinary Trends in Artificial Intelligence

from 82 submissions. They are organized in the following topical sections: knowledge representation and reasoning; data mining and machine;

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Deep Learning

ability to learn from complex data makes deep learning ideally suited to take advantage of the rapid growth in big data and computational power;

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Intelligent Data Engineering and Automated Learning - IDEAL 2017

This book constitutes the refereed proceedings of the 18th International Conference on Intelligent Data Engineering and Automated Learning;

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Deep Learning Techniques and Optimization Strategies in Big Data Analytics

Techniques and Optimization Strategies in Big Data Analytics is a collection of innovative research on the methods and applications of deep 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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Recent Trends in Information and Communication Technology

environments, e-learning acceptance models, recent trends in knowledge management and software engineering; security issues in the cyber world; as well;

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