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Computational Intelligent Data Analysis for Sustainable Development

2016-04-19 Business & Economics
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Release : 2016-04-19
Genre : Business & Economics
Kind : eBook
Book Rating : 953/5 ( reviews)

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Book Synopsis Computational Intelligent Data Analysis for Sustainable Development by : Ting Yu

Download or read book Computational Intelligent Data Analysis for Sustainable Development written by Ting Yu. This book was released on 2016-04-19. Available in PDF, EPUB and Kindle. Book excerpt: Going beyond performing simple analyses, researchers involved in the highly dynamic field of computational intelligent data analysis design algorithms that solve increasingly complex data problems in changing environments, including economic, environmental, and social data. Computational Intelligent Data Analysis for Sustainable Development present

Computational Intelligent Data Analysis for Sustainable Development

2013 Data mining
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Release : 2013
Genre : Data mining
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Computational Intelligent Data Analysis for Sustainable Development by : Ting Yu Nitesh

Download or read book Computational Intelligent Data Analysis for Sustainable Development written by Ting Yu Nitesh. This book was released on 2013. Available in PDF, EPUB and Kindle. Book excerpt: "Intelligent data analysis techniques offer powerful solutions to collecting and analyzing vast quantities of environmental and economic data, which lead to better decision making for sustainable development. This volume is the first to discuss the treatment of intelligent data analysis techniques in sustainable development applications. The book describes the emerging use of data mining, machine learning, artificial neural networks, data visualization, knowledge discovery, GIS, and other technologies to tackle environmental, economic, and social issues, including climate change, risk management, and population growth"--/Provided by publisher.

Big Data Analytics for Sustainable Computing

2019-09-20 Computers
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Release : 2019-09-20
Genre : Computers
Kind : eBook
Book Rating : 522/5 ( reviews)

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Book Synopsis Big Data Analytics for Sustainable Computing by : Haldorai, Anandakumar

Download or read book Big Data Analytics for Sustainable Computing written by Haldorai, Anandakumar. This book was released on 2019-09-20. Available in PDF, EPUB and Kindle. Book excerpt: Big data consists of data sets that are too large and complex for traditional data processing and data management applications. Therefore, to obtain the valuable information within the data, one must use a variety of innovative analytical methods, such as web analytics, machine learning, and network analytics. As the study of big data becomes more popular, there is an urgent demand for studies on high-level computational intelligence and computing services for analyzing this significant area of information science. Big Data Analytics for Sustainable Computing is a collection of innovative research that focuses on new computing and system development issues in emerging sustainable applications. Featuring coverage on a wide range of topics such as data filtering, knowledge engineering, and cognitive analytics, this publication is ideally designed for data scientists, IT specialists, computer science practitioners, computer engineers, academicians, professionals, and students seeking current research on emerging analytical techniques and data processing software.

Machine Intelligence and Data Analytics for Sustainable Future Smart Cities

2021-05-31 Technology & Engineering
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Release : 2021-05-31
Genre : Technology & Engineering
Kind : eBook
Book Rating : 659/5 ( reviews)

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Book Synopsis Machine Intelligence and Data Analytics for Sustainable Future Smart Cities by : Uttam Ghosh

Download or read book Machine Intelligence and Data Analytics for Sustainable Future Smart Cities written by Uttam Ghosh. This book was released on 2021-05-31. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest advances in computational intelligence and data analytics for sustainable future smart cities. It focuses on computational intelligence and data analytics to bring together the smart city and sustainable city endeavors. It also discusses new models, practical solutions and technological advances related to the development and the transformation of cities through machine intelligence and big data models and techniques. This book is helpful for students and researchers as well as practitioners.

Computational Intelligence Methods for Green Technology and Sustainable Development

2020-10-27 Technology & Engineering
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Release : 2020-10-27
Genre : Technology & Engineering
Kind : eBook
Book Rating : 246/5 ( reviews)

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Book Synopsis Computational Intelligence Methods for Green Technology and Sustainable Development by : Yo-Ping Huang

Download or read book Computational Intelligence Methods for Green Technology and Sustainable Development written by Yo-Ping Huang. This book was released on 2020-10-27. Available in PDF, EPUB and Kindle. Book excerpt: This book is a selected collection of 54 peer-reviewed original scientific research papers of the 5th International Conference on Green Technology and Sustainable Development (GTSD2020) organised in Vietnam in 2020. It highlights the importance of sustainability as well as promotes up-to-date innovation and research for green development in technologies, economics and education among countries. The conference provides an international platform for researchers, practitioners, policymakers and entrepreneurs to present their advances, knowledge and experience on various interdisciplinary topics related to the theme of “Green technology and sustainable development in industrial revolution 4.0”. The book is a valuable resource for researchers, analysts, engineers, practitioners and policymakers who are interested in the latest findings in artificial intelligence, cyber systems, robotics, green energy and power systems, mechanical and computational mechanic models and advanced civil engineering. This book has 05 sessions consisting of both theoretical and practical aspects, and numerical and experimental analyses in various engineering disciplines.

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