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Big Data Analysis for Green Computing, Sharma, Rohit


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Цена: 7501.00р.
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Автор: Sharma, Rohit
Название:  Big Data Analysis for Green Computing
ISBN: 9781032053066
Издательство: Taylor&Francis
Классификация:









ISBN-10: 1032053062
Обложка/Формат: Paperback
Страницы: 174
Вес: 0.34 кг.
Дата издания: 04.10.2024
Серия: Green Engineering and Technology
Иллюстрации: 7 tables, black and white; 25 line drawings, black and white; 25 illustrations, black and white
Размер: 234 x 156
Основная тема: Artificial Intelligence
Подзаголовок: Concepts and Applications
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание: This book focuses on big data in business intelligence, data management, machine learning, cloud computing, and smart cities. It also provides an interdisciplinary platform to present and discuss recent innovations, trends, and concerns in the fields of big data and analytics.Big Data Analysis for Green Computing: Concepts and Applications presents the latest technologies and covers the major challenges, issues, and advances of big data and data analytics in green computing. It explores basic as well as high-level concepts. It also includes the use of machine learning using big data and discusses advanced system implementation for smart cities.The book is intended for business and management educators, management researchers, doctoral scholars, university professors, policymakers, and higher academic research organizations.
Дополнительное описание: Chapter 1 Multi-Criteria and Fuzzy-Based Decision Making: Applications in Environment Pollution Control for Sustainable Development Chapter 2 Security and Privacy Requirements for IoMT-Based Smart Healthcare System: Challenges, Solutions, and Future Scope



Dicing with death

Автор: Senn, Stephen
Название: Dicing with death
ISBN: 1108999867 ISBN-13(EAN): 9781108999861
Издательство: Cambridge Academ
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Цена: 3166.00 р.
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Описание: From measles to malaria, from clinical trials to COVID and from life tables to the law, the second edition of Dicing with Death explains how the vital decisions we have to make both individually and collectively can be informed and improved by good data, statistical reasoning and analysis.

Data-driven science and engineering

Автор: Brunton, Steven L. (university Of Washington) Kutz
Название: Data-driven science and engineering
ISBN: 1009098489 ISBN-13(EAN): 9781009098489
Издательство: Cambridge Academ
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Цена: 7918.00 р.
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Описание: Data-driven discovery is revolutionizing how we model, predict, and control complex systems. This text integrates emerging machine learning and data science methods for engineering and science communities. Now with Python and MATLAB (R), new chapters on reinforcement learning and physics-informed machine learning, and supplementary videos and code.

Machine Learning Algorithms for Engineering Applications: Future Trends and Research Directions

Автор: Parmanand Astya, Prasenjit Chatterjee, Sudeshna Chakraborty
Название: Machine Learning Algorithms for Engineering Applications: Future Trends and Research Directions
ISBN: 1685074499 ISBN-13(EAN): 9781685074494
Издательство: Nova Science
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Цена: 22491.00 р.
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Описание: Machine learning is a vital part of numerous academic and financial applications, in areas ranging from health care and treatment to finding relevant information in social networks. Large organisations thoughtfully apply machine learning algorithms with extensive research teams. The purpose of this book is to provide an intellectual introduction to statistical or machine learning (ML) techniques for those that would not normally be exposed to such approaches during their typical required statistical exercise.

Statistical analysis is an integral part of machine learning and can be described as a form of it, often even utilising well-known and familiar techniques, that has a different focus than traditional analytical practice in applied disciplines. The key notion is that flexible, automatic approaches are used to detect patterns within the data, with a primary focus on making predictions on future data.

Techniques and Environments for Big Data Analysis

Автор: B. S.P. Mishra; Satchidananda Dehuri; Euiwhan Kim;
Название: Techniques and Environments for Big Data Analysis
ISBN: 3319275186 ISBN-13(EAN): 9783319275185
Издательство: Springer
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Цена: 16979.00 р.
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Описание: This volume is aiming at a wide range of readers andresearchers in the area of Big Data by presenting the recent advances in the fieldsof Big Data Analysis, as well as the techniques and tools used to analyze it.

Deep Learning Innovations and Their Convergence with Big Data

Автор: Karthik S., Paul Anand, Karthikeyan N.
Название: Deep Learning Innovations and Their Convergence with Big Data
ISBN: 1522530150 ISBN-13(EAN): 9781522530152
Издательство: Mare Nostrum (Eurospan)
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Цена: 29938.00 р.
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Описание: The expansion of digital data has transformed various sectors of business such as healthcare, industrial manufacturing, and transportation. A new way of solving business problems has emerged through the use of machine learning techniques in conjunction with big data analytics.Deep Learning Innovations and Their Convergence With Big Data is a pivotal reference for the latest scholarly research on upcoming trends in data analytics and potential technologies that will facilitate insight in various domains of science, industry, business, and consumer applications. Featuring extensive coverage on a broad range of topics and perspectives such as deep neural network, domain adaptation modeling, and threat detection, this book is ideally designed for researchers, professionals, and students seeking current research on the latest trends in the field of deep learning techniques in big data analytics.Contents include:Deep Auto-EncodersDeep Neural NetworkDomain Adaptation ModelingMultilayer Perceptron (MLP)Natural Language Processing (NLP)Restricted Boltzmann Machines (RBM)Threat Detection

High-Performance Computing and Big Data Analysis

Автор: Lucio Grandinetti; Seyedeh Leili Mirtaheri; Reza S
Название: High-Performance Computing and Big Data Analysis
ISBN: 3030334945 ISBN-13(EAN): 9783030334949
Издательство: Springer
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Цена: 12856.00 р.
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Описание: This book constitutes revised and selected papers from the Second International Congress on High-Performance Computing and Big Data Analysis, TopHPC 2019, held in Tehran, Iran, in April 2019.

The 37 full papers and 2 short papers presented in this volume were carefully reviewed and selected from a total of 103 submissions. The papers in the volume are organized acording to the following topical headings: deep learning; big data analytics; Internet of Things.- data mining, neural network and genetic algorithms; performance issuesand quantum computing.
Principles of Big Data

Автор: Alvin Albuero De Luna
Название: Principles of Big Data
ISBN: 1774076225 ISBN-13(EAN): 9781774076224
Издательство: Mare Nostrum (Eurospan)
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Цена: 23423.00 р.
Наличие на складе: Нет в наличии.

Описание: Takes the readers through the various aspects of big data and explores the various important principles that it works on. Through the book the readers get a deeper insight on the big data and its application in the analytical world.

Techniques and Environments for Big Data Analysis: Parallel, Cloud, and Grid Computing

Автор: Mishra B. S. P., Dehuri Satchidananda, Kim Euiwhan
Название: Techniques and Environments for Big Data Analysis: Parallel, Cloud, and Grid Computing
ISBN: 3319801600 ISBN-13(EAN): 9783319801605
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This volume is aiming at a wide range of readers andresearchers in the area of Big Data by presenting the recent advances in the fieldsof Big Data Analysis, as well as the techniques and tools used to analyze it.

Edge learning for distributed big data analytics

Автор: Guo, Song (the Hong Kong Polytechnic University) Qu, Zhihao (the Hong Kong Polytechnic University)
Название: Edge learning for distributed big data analytics
ISBN: 1108832377 ISBN-13(EAN): 9781108832373
Издательство: Cambridge Academ
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Цена: 9502.00 р.
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Описание: Introduces fundamental theory, basic and advanced algorithms, and system design issues. Essential reading for experienced researchers and developers, or for those who are just entering the field.

Pattern Recognition Algorithms for Data Mining

Автор: Pal, Sankar K.
Название: Pattern Recognition Algorithms for Data Mining
ISBN: 1584884576 ISBN-13(EAN): 9781584884576
Издательство: Taylor&Francis
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Цена: 20671.00 р.
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Описание: Addresses different pattern recognition (PR) tasks in a unified framework with both theoretical and experimental results. Organized into eight chapters, the book begins by introducing PR, data mining, and knowledge discovery concepts. It concludes by highlighting the significance of granular computing for different mining tasks in a soft paradigm.

Intelligent Data Analysis and Applications

Автор: Pan
Название: Intelligent Data Analysis and Applications
ISBN: 3319484982 ISBN-13(EAN): 9783319484983
Издательство: Springer
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Цена: 23757.00 р.
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Описание: This book gathers papers presented at the ECC 2016, the Third Euro-China Conference on Intelligent Data Analysis and Applications, which was held in Fuzhou City, China from November 7 to 9, 2016. The aim of the ECC is to provide an internationally respected forum for scientific research in the broad areas of intelligent data analysis, computational intelligence, signal processing, and all associated applications of artificial intelligence (AI).The third installment of the ECC was jointly organized by Fujian University of Technology, China, and VSB-Technical University of Ostrava, Czech Republic. The conference was co-sponsored by Taiwan Association for Web Intelligence Consortium, and Immersion Co., Ltd.

Intelligent Data analysis and its Applications, Volume I

Автор: Jeng-Shyang Pan; Vaclav Snasel; Emilio S. Corchado
Название: Intelligent Data analysis and its Applications, Volume I
ISBN: 3319077759 ISBN-13(EAN): 9783319077758
Издательство: Springer
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Цена: 32142.00 р.
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Описание: This volume presents the proceedings of the First Euro-China Conference on Intelligent Data Analysis and Applications (ECC 2014), which was hosted by Shenzhen Graduate School of Harbin Institute of Technology and was held in Shenzhen City on June 13-15, 2014.


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