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Recent Advances in Big Data and Deep Learning, Luca Oneto; Nicol? Navarin; Alessandro Sperduti; D


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Автор: Luca Oneto; Nicol? Navarin; Alessandro Sperduti; D
Название:  Recent Advances in Big Data and Deep Learning
ISBN: 9783030168407
Издательство: Springer
Классификация:


ISBN-10: 3030168409
Обложка/Формат: Soft cover
Страницы: 392
Вес: 0.62 кг.
Дата издания: 2020
Серия: Proceedings of the International Neural Networks Society
Язык: English
Издание: 1st ed. 2020
Иллюстрации: 89 illustrations, color; 53 illustrations, black and white; x, 392 p. 142 illus., 89 illus. in color.
Размер: 234 x 156 x 21
Читательская аудитория: Professional & vocational
Основная тема: Engineering
Подзаголовок: Proceedings of the INNS Big Data and Deep Learning Conference INNSBDDL2019, held at Sestri Levante, Genova, Italy 16-18 April 2019
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book presents the original articles that have been accepted in the 2019 INNS Big Data and Deep Learning (INNS BDDL) international conference, a major event for researchers in the field of artificial neural networks, big data and related topics, organized by the International Neural Network Society and hosted by the University of Genoa. In 2019 INNS BDDL has been held in Sestri Levante (Italy) from April 16 to April 18. More than 80 researchers from 20 countries participated in the INNS BDDL in April 2019. In addition to regular sessions, INNS BDDL welcomed around 40 oral communications, 6 tutorials have been presented together with 4 invited plenary speakers. This book covers a broad range of topics in big data and deep learning, from theoretical aspects to state-of-the-art applications. This book is directed to both Ph.D. students and Researchers in the field in order to provide a general picture of the state-of-the-art on the topics addressed by the conference.
Дополнительное описание: On the trade-o? between number of examples and precision of supervision in regression.- Distributed SmSVM Ensemble Learning.- Size/Accuracy Trade-off in Convolutional Neural Networks: An Evolutionary Approach.- Fast transfer learning for image polarity de



Advances in Mobile Cloud Computing and Big Data in the 5G Era

Автор: Mavromoustakis
Название: Advances in Mobile Cloud Computing and Big Data in the 5G Era
ISBN: 331945143X ISBN-13(EAN): 9783319451435
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This book reports on the latest advances on the theories, practices, standards and strategies that are related to the modern technology paradigms, the Mobile Cloud computing (MCC) and Big Data, as the pillars and their association with the emerging 5G mobile networks.The book includes 15 rigorously refereed chapters written by leading international researchers, providing the readers with technical and scientific information about various aspects of Big Data and Mobile Cloud Computing, from basic concepts to advanced findings, reporting the state-of-the-art on Big Data management. It demonstrates and discusses methods and practices to improve multi-source Big Data manipulation techniques, as well as the integration of resources availability through the 3As (Anywhere, Anything, Anytime) paradigm, using the 5G access technologies.

Internet of Things and Big Data Applications: Recent Advances and Challenges

Автор: Balas Valentina E., Solanki Vijender Kumar, Kumar Raghvendra
Название: Internet of Things and Big Data Applications: Recent Advances and Challenges
ISBN: 3030391183 ISBN-13(EAN): 9783030391188
Издательство: Springer
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Цена: 23757.00 р.
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Описание: This book provides essential future directions for IoT and Big Data research. Thus, there is a new global interest in these applications in various domains such as health, agriculture, energy, security and retail.

Recent Advances on Soft Computing and Data Mining

Автор: Herawan
Название: Recent Advances on Soft Computing and Data Mining
ISBN: 331951279X ISBN-13(EAN): 9783319512792
Издательство: Springer
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Цена: 41787.00 р.
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Описание:

This book provides a comprehensive introduction and practical look at the concepts and techniques readers need to get the most out of their data in real-world, large-scale data mining projects. It also guides readers through the data-analytic thinking necessary for extracting useful knowledge and business value from the data.
The book is based on the Soft Computing and Data Mining (SCDM-16) conference, which was held in Bandung, Indonesia on August 18th–20th 2016 to discuss the state of the art in soft computing techniques, and offer participants sufficient knowledge to tackle a wide range of complex systems. The scope of the conference is reflected in the book, which presents a balance of soft computing techniques and data mining approaches. The two constituents are introduced to the reader systematically and brought together using different combinations of applications and practices. It offers engineers, data analysts, practitioners, scientists and managers the insights into the concepts, tools and techniques employed, and as such enables them to better understand the design choice and options of soft computing techniques and data mining approaches that are necessary to thrive in this data-driven ecosystem.
Recent Advances on Soft Computing and Data Mining

Автор: Tutut Herawan; Rozaida Ghazali; Mustafa Mat Deris
Название: Recent Advances on Soft Computing and Data Mining
ISBN: 3319076914 ISBN-13(EAN): 9783319076911
Издательство: Springer
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Цена: 32142.00 р.
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Описание: This book constitutes the refereed proceedings of the First International Conference on Soft Computing and Data Mining, SCDM 2014, held in Universiti Tun Hussein Onn Malaysia, in June 16th-18th, 2014.

Recent Advances on Soft Computing and Data Mining

Автор: Ghazali
Название: Recent Advances on Soft Computing and Data Mining
ISBN: 3319725491 ISBN-13(EAN): 9783319725499
Издательство: Springer
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Цена: 27950.00 р.
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Описание:

An Improved Hybrid Firefly Algorithm for Solving Optimization Problems.- Classification of JPEG Files by Using Extreme Learning Machine.- A Relative Tolerance Relation of Rough Set for Incomplete Information Systems.- An Algorithm Design of Kansei Recommender System.- A Framework to Cluster Temporal Data Using Personalised Modelling Approach.- Fibonacci Polynomials Based Functional Link Neural Network for Classification Tasks.

Recent Advances on Soft Computing and Data Mining

Автор: Rozaida Ghazali; Nazri Mohd Nawi; Mustafa Mat Deri
Название: Recent Advances on Soft Computing and Data Mining
ISBN: 3030360555 ISBN-13(EAN): 9783030360559
Издательство: Springer
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Цена: 27950.00 р.
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Описание: This book provides an introduction to data science and offers a practical overview of the concepts and techniques that readers need to get the most out of their large-scale data mining projects and research studies.

Recent Advances in Data Science: Third International Conference on Data Science, Medicine, and Bioinformatics, Idmb 2019, Nanning, China, June 22-24,

Автор: Han Henry, Wei Tie, Liu Wenbin
Название: Recent Advances in Data Science: Third International Conference on Data Science, Medicine, and Bioinformatics, Idmb 2019, Nanning, China, June 22-24,
ISBN: 9811587590 ISBN-13(EAN): 9789811587597
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes selected papers of the Third International Conference on Data Science, Medicine and Bioinformatics, IDMB 2019, held in Nanning, China, in June 2019.

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

Автор: Oneto Luca, Navarin Nicolт, Sperduti Alessandro
Название: Recent Trends in Learning from Data: Tutorials from the Inns Big Data and Deep Learning Conference (Innsbddl2019)
ISBN: 3030438821 ISBN-13(EAN): 9783030438821
Издательство: Springer
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Цена: 16769.00 р.
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Описание: Based on the tutorials presented at the INNS Big Data and Deep Learning Conference, INNSBDDL2019, held on April 16-18, 2019, in Sestri Levante, Italy, the respective chapters cover advanced neural networks, deep architectures, and supervised and reinforcement machine learning models.

Advances in Big Data

Автор: Angelov
Название: Advances in Big Data
ISBN: 3319478974 ISBN-13(EAN): 9783319478975
Издательство: Springer
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Цена: 27950.00 р.
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Описание: The book offers a timely snapshot of neural network technologies as a significant component of big data analytics platforms. It promotes new advances and research directions in efficient and innovative algorithmic approaches to analyzing big data (e.g. deep networks, nature-inspired and brain-inspired algorithms); implementations on different computing platforms (e.g. neuromorphic, graphics processing units (GPUs), clouds, clusters); and big data analytics applications to solve real-world problems (e.g. weather prediction, transportation, energy management). The book, which reports on the second edition of the INNS Conference on Big Data, held on October 23–25, 2016, in Thessaloniki, Greece, depicts an interesting collaborative adventure of neural networks with big data and other learning technologies.

Research Advances in the Integration of Big Data and Smart Computing

Автор: Pradeep Kumar Mallick
Название: Research Advances in the Integration of Big Data and Smart Computing
ISBN: 1466687371 ISBN-13(EAN): 9781466687370
Издательство: Mare Nostrum (Eurospan)
Цена: 30631.00 р.
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Описание: The volume, complexity, and irregularity of computational data in modern algorithms and simulations necessitates an unorthodox approach to computing. Understanding the facets and possibilities of soft computing algorithms is necessary for the accurate and timely processing of complex data.Research Advances in the Integration of Big Data and Smart Computing builds on the available literature in the realm of Big Data while providing further research opportunities in this dynamic field. This publication provides the resources necessary for technology developers, scientists, and policymakers to adopt and implement new paradigms in computational methods across the globe.The chapters in this publication advance the body of knowledge on soft computing techniques through topics such as transmission control protocol for mobile ad hoc networks, feature extraction, comparative analysis of filtering techniques, big data in economic policy, and advanced dimensionality reduction methods.

Advances in Big Data and Cloud Computing

Автор: J. Dinesh Peter; Amir H. Alavi; Bahman Javadi
Название: Advances in Big Data and Cloud Computing
ISBN: 9811318816 ISBN-13(EAN): 9789811318818
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This book is a compendium of the proceedings of the International Conference on Big Data and Cloud Computing. It includes recent advances in the areas of big data analytics, cloud computing, internet of nano things, cloud security, data analytics in the cloud, smart cities and grids, etc. This volume primarily focuses on the application of the knowledge that promotes ideas for solving the problems of the society through cutting-edge technologies. The articles featured in this proceeding provide novel ideas that contribute to the growth of world class research and development. The contents of this volume will be of interest to researchers and professionals alike.

Advances in Mobile Cloud Computing and Big Data in the 5g Era

Автор: Mavromoustakis Constandinos X., Mastorakis George, Dobre Ciprian
Название: Advances in Mobile Cloud Computing and Big Data in the 5g Era
ISBN: 3319832220 ISBN-13(EAN): 9783319832227
Издательство: Springer
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Цена: 22359.00 р.
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Описание: Introduction and Applications of MCC and Big Data Paradigm in 5G Access.- Architectures of MCC and Big Data Paradigm.- MCC and Big Data Paradigm in Smart Ambient Systems.- MCC and Big Data Control and Data Management.


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