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Machine Learning Approach for Cloud Data Analytics in Iot, Mohanty Sachi Nandan, Chatterjee Jyotir Moy, Mangla Monika


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Автор: Mohanty Sachi Nandan, Chatterjee Jyotir Moy, Mangla Monika
Название:  Machine Learning Approach for Cloud Data Analytics in Iot
ISBN: 9781119785804
Издательство: Wiley
Классификация:
ISBN-10: 1119785804
Обложка/Формат: Hardcover
Страницы: 528
Вес: 0.86 кг.
Дата издания: 27.07.2021
Язык: English
Размер: 25.60 x 13.59 x 3.35 cm
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание: Im Zeitalter des Internet of Things (IoT) erzeugen Edge-Gerдte in jedem Sekundenbruchteil gigantische Datenmengen. Dabei besteht das Hauptziel dieser Netzwerke darin, aus den gesammelten Daten sinnvolle Informationen abzuleiten. Gleichzeitig werden gewaltige Datenmengen in die Cloud Г1/4bertragen, was extrem teuer und zeitaufwдndig ist. Es ist somit notwendig, effiziente Mechanismen fГ1/4r die Verarbeitung dieser gewaltigen Datenmengen zu entwickeln, und dafГ1/4r sind effiziente Datenverarbeitungstechniken erforderlich. Nachhaltige Paradigmen wie Cloud Computing und Fog Computing tragen zu einem geschickten Umgang mit Themen wie Leistung, Speicher- und Verarbeitungskapazitдten, Wartung, Sicherheit, Effizienz, Integration, Kosten, Energieverbrauch und Latenzzeiten bei. Allerdings werden ausgefeilte Analysetools benцtigt, um die Anfragen in einer optimalen Zeit zu bearbeiten. Daher wird derzeit eifrig an der Entwicklung eines effektiven und effizienten Rahmens geforscht, um den grцГŸtmцglichen Nutzen zu erhalten.

Bei der Verarbeitung der gewaltigen Datenmengen steht das maschinelle Lernen besonders hoch im Kurs und wird in zahlreichen Disziplinen angewandt, auch in den sozialen Medien.

In Machine Learning Approach for Cloud Data Analytics in IoT werden sдmtliche Aspekte des IoT, des Cloud Computing und der Datenanalyse ausfГ1/4hrlich erlдutert und aus verschiedenen Perspektiven betrachtet. Das Buch prдsentiert den neuesten Stand der Forschung und fortschrittliche Themen. So erhalten die Leserinnen und Leser aktuelle Informationen und kцnnen das gesamte Spektrum der Anwendungen von IoT, Cloud Computing und Datenanalyse erfassen.


Artificial intelligence a modern approach: The application in healthcare, industry and more. The fascinating topic of machine learning and prediction

Автор: Baker Chris
Название: Artificial intelligence a modern approach: The application in healthcare, industry and more. The fascinating topic of machine learning and prediction
ISBN: 1914063198 ISBN-13(EAN): 9781914063190
Издательство: Неизвестно
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Цена: 26660.00 T
Наличие на складе: Есть
Описание:

Artificial intelligence is a word that carries with it heavy connotations. Although artificial intelligence is nothing more than the capacity for logic and understanding that machines can exhibit, in the minds of most people artificial intelligence is almost a Pandora's box that, when opened, will eventually signal the human race's doom..


The idea that machines pose an existential threat to human beings has been around for at least 60 years. It goes something like this: intelligent machines eventually realize the uselessness of human beings and turn against their creators. Or this: intelligent machines reduce human to cattle or even food after a dramatic war that human beings lose.

Human beings have created countless languages and writing systems that have allowed us to expand collective human knowledge over a period of thousands of years. Much of the knowledge that we utilized today, knowledge about the math, science, and the stars, originates from observations made thousands of years ago but which were recorded by writing systems, allowing this knowledge to be preserved and passed down.


Artificial intelligence has been used for many business, financial, medical, and other applications, and scientists and researchers are actively studying how these applications can be expanded to make human life simpler.



The applications of AI will be explored in this book, both the real applications to business, finance, medicine, and health and the theoretical applications. Even the sensational, perhaps exaggerated applications of AI will be explored in the context of taking a look at how AI may potentially be applied in the future. The purpose of this discussion is for the reader to understand what AI is by understanding how it is used.


Artificial intelligence is certainly a blessing at this point, but the reality that it may become a curse is not lost on some people. Understanding the full implications of AI requires a deep knowledge of what it is and where it came from.


For companies and businesses to take advantage of AI-powered and improved interactions, the conversation has to begin inside the organization. Leaders are supposed to start with the available channels and improve their smartness. From that point, they are supposed to ask key questions about engagements with customers and employees.



Here is a preview of what you will learn...

  • Brief history of artificial intelligence
  • The state of art of machine learning
  • Artificial neural networks applied to machine learning
  • How can we build an AI ready culture
  • Our daily lives with AI

And More.....


The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy: SPIoT-2021 Volume 2

Автор: Macintyre John, Zhao Jinghua, Ma Xiaomeng
Название: The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy: SPIoT-2021 Volume 2
ISBN: 3030895106 ISBN-13(EAN): 9783030895105
Издательство: Springer
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Цена: 204970.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Analysis of Sentiment Tendency of Tourists' Comments Based on Text Mining.- Analysis of Smart City Construction Based on 5G Data Technology.- Prediction of Stock Price Based on Artificial Intelligence Algorithm.- Variation Translation Strategy System of Intangible Cultural Heritage Based on Data Mining.- A Computer-aided Comparative Study on Grammatical Cohesion in Abstracts of Sci-tech Journal Papers by Chinese and American Scholars.- Computer Graphics and Image Software in Advertising Design.- Design and Research of Production Information Management System for Project Based Mechanical Manufacturing Enterprises.- Impact of Computer Network Technology on Regional Economic Development.- Chaos Algorithm of Electrical Control System Based on Neural Network Technology.- Pulse Signal Acquisition System Based on Match Pursuit Algorithm.- Data Analysis of Power System Engineering Construction Based on PPSO Algorithm.- Reactive Optimization of Power System Based on K-means Algorithm.- Design and Structure Analysis of Manipulator based on Acceleration Sensor.- Discussion on Decision Tree Algorithm in University Teaching Management System.


The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy: SPIoT-2021 Volume 1

Автор: Macintyre John, Zhao Jinghua, Ma Xiaomeng
Название: The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy: SPIoT-2021 Volume 1
ISBN: 3030895076 ISBN-13(EAN): 9783030895075
Издательство: Springer
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Цена: 204970.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Application of Artificial Intelligence in Arrangement Creation.- Automatic Segmentation for Retinal Vessel Using Concatenate UNet++.- Experimental Analysis of Mandarin Tone Pronunciation of Tibetan College Students for Artificial Intelligence Speech Recognition.- Exploration of Paths for Artificial Intelligence Technology to Promote Economic Development.- Influence of RPA Financial Robot on Financial Accounting and its Countermeasures.- Application of Artificial Intelligence Technology in English Online Learning Platform.- Spectral Identification Model of NIR Origin Based on Deep Extreme Learning Machine.- Frontier Application and Development Trend of Artificial Intelligence in New Media in the AI Era.- Analysis on the Application of Machine Learning Stock Selection Algorithm in the Financial Field.- Default Risk Prediction Based on Machine Learning under Big Data Analysis Technology.- Application of Intelligent Detection Technology and Machine Learning Algorithm in Music Intelligent System.- Application of 3D Computer Aided System in Dance Creation and Learning.- Data Selection and Machine Learning Algorithm Application under the Background of Big Data.

Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges

Автор: Hassanien Aboul Ella, Darwish Ashraf
Название: Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges
ISBN: 3030593371 ISBN-13(EAN): 9783030593377
Издательство: Springer
Цена: 186330.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The accepted chapters covered many themes including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for big data analytics, and modeling, simulation, and security with big data.

Cloud Computing for Geospatial Big Data Analytics

Автор: Himansu Das; Rabindra K. Barik; Harishchandra Dube
Название: Cloud Computing for Geospatial Big Data Analytics
ISBN: 3030033589 ISBN-13(EAN): 9783030033583
Издательство: Springer
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Цена: 158380.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces the latest research findings in cloud, edge, fog, and mist computing and their applications in various fields using geospatial data. It solves a number of problems of cloud computing and big data, such as scheduling, security issues using different techniques, which researchers from industry and academia have been attempting to solve in virtual environments. Some of these problems are of an intractable nature and so efficient technologies like fog, edge and mist computing play an important role in addressing these issues. By exploring emerging advances in cloud computing and big data analytics and their engineering applications, the book enables researchers to understand the mechanisms needed to implement cloud, edge, fog, and mist computing in their own endeavours, and motivates them to examine their own research findings and developments.

Internet of Things: What You Need to Know About IoT, Big Data, Predictive Analytics, Artificial Intelligence, Machine Learning, Cybersecur

Автор: Wilkins Neil
Название: Internet of Things: What You Need to Know About IoT, Big Data, Predictive Analytics, Artificial Intelligence, Machine Learning, Cybersecur
ISBN: 1647481341 ISBN-13(EAN): 9781647481346
Издательство: Неизвестно
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Цена: 27580.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.

Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach (Studies in Big Data, 78) 1st ed.

Автор: Aboul-Ella Hassanien, Nilanjan Dey, Sally Elghamrawy
Название: Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach (Studies in Big Data, 78) 1st ed.
ISBN: 3030552578 ISBN-13(EAN): 9783030552572
Издательство: Springer
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Цена: 102480.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book includes research articles and expository papers on the applications of artificial intelligence and big data analytics to battle the pandemic. The third part discusses the insights of artificial intelligence to stop spread of COVID-19, while the last part presents deep learning and big data analytics which help fight the COVID-19.

Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach

Автор: Hassanien Aboul-Ella, Dey Nilanjan, Elghamrawy Sally
Название: Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach
ISBN: 3030552608 ISBN-13(EAN): 9783030552602
Издательство: Springer
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Цена: 102480.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book includes research articles and expository papers on the applications of artificial intelligence and big data analytics to battle the pandemic. The third part discusses the insights of artificial intelligence to stop spread of COVID-19, while the last part presents deep learning and big data analytics which help fight the COVID-19.

Recent Developments in Machine Learning and Data Analytics

Автор: Kalita
Название: Recent Developments in Machine Learning and Data Analytics
ISBN: 9811312796 ISBN-13(EAN): 9789811312793
Издательство: Springer
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Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents high-quality papers from an international forum for research on computational approaches to learning. Further, it features work that shows how to apply learning methods to solve important application problems as well as how machine learning research is conducted.

Machine Learning and Data Mining for Sports Analytics

Автор: Ulf Brefeld; Jesse Davis; Jan Van Haaren; Albrecht
Название: Machine Learning and Data Mining for Sports Analytics
ISBN: 3030172732 ISBN-13(EAN): 9783030172732
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book constitutes the refereed post-conference proceedings of the 5th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2018, colocated with ECML/PKDD 2018, in Dublin, Ireland, in September 2018.

The 12 full papers presented together with 4 challenge papers were carefully reviewed and selected from 24 submissions. The papers present a variety of topics, covering the team sports American football, basketball, ice hockey, and soccer, as well as the individual sports cycling and martial arts. In addition, four challenge papers are included, reporting on how to predict pass receivers in soccer.

Deep Learning Techniques and Optimization Strategies in Big Data Analytics

Автор: J. Joshua Thomas, Pinar Karagoz, B. Bazeer Ahamed,
Название: Deep Learning Techniques and Optimization Strategies in Big Data Analytics
ISBN: 1799811921 ISBN-13(EAN): 9781799811923
Издательство: Mare Nostrum (Eurospan)
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Цена: 239310.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Many approaches have sprouted from artificial intelligence (AI) and produced major breakthroughs in the computer science and engineering industries. Deep learning is a method that is transforming the world of data and analytics. Optimization of this new approach is still unclear, however, and there's a need for research on the various applications and techniques of deep learning in the field of computing. Deep Learning Techniques and Optimization Strategies in Big Data Analytics is a collection of innovative research on the methods and applications of deep learning strategies in the fields of computer science and information systems. While highlighting topics including data integration, computational modeling, and scheduling systems, this book is ideally designed for engineers, IT specialists, data analysts, data scientists, engineers, researchers, academicians, and students seeking current research on deep learning methods and its application in the digital industry.

Deep Learning Techniques and Optimization Strategies in Big Data Analytics

Автор: J. Joshua Thomas, Pinar Karagoz, B. Bazeer Ahamed, Pandian Vasant
Название: Deep Learning Techniques and Optimization Strategies in Big Data Analytics
ISBN: 179981193X ISBN-13(EAN): 9781799811930
Издательство: Mare Nostrum (Eurospan)
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Цена: 180180.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Many approaches have sprouted from artificial intelligence (AI) and produced major breakthroughs in the computer science and engineering industries. Deep learning is a method that is transforming the world of data and analytics. Optimization of this new approach is still unclear, however, and there's a need for research on the various applications and techniques of deep learning in the field of computing. Deep Learning Techniques and Optimization Strategies in Big Data Analytics is a collection of innovative research on the methods and applications of deep learning strategies in the fields of computer science and information systems. While highlighting topics including data integration, computational modeling, and scheduling systems, this book is ideally designed for engineers, IT specialists, data analysts, data scientists, engineers, researchers, academicians, and students seeking current research on deep learning methods and its application in the digital industry.


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