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Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making, Cengiz Kahraman; Selcuk Cebi; Sezi Cevik Onar; Bas


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Автор: Cengiz Kahraman; Selcuk Cebi; Sezi Cevik Onar; Bas
Название:  Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making
ISBN: 9783030237554
Издательство: Springer
Классификация:



ISBN-10: 3030237559
Обложка/Формат: Soft cover
Страницы: 1392
Вес: 2.17 кг.
Дата издания: 2020
Серия: Advances in Intelligent Systems and Computing
Язык: English
Издание: 1st ed. 2020
Иллюстрации: 242 illustrations, black and white; xix, 1392 p. 242 illus. in 2 volumes, not available separately.
Размер: 229 x 158 x 69
Читательская аудитория: Professional & vocational
Основная тема: Engineering
Подзаголовок: Proceedings of the INFUS 2019 Conference, Istanbul, Turkey, July 23-25, 2019
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book includes the proceedings of the Intelligent and Fuzzy Techniques INFUS 2019 Conference, held in Istanbul, Turkey, on July 23–25, 2019. Big data analytics refers to the strategy of analyzing large volumes of data, or big data, gathered from a wide variety of sources, including social networks, videos, digital images, sensors, and sales transaction records. Big data analytics allows data scientists and various other users to evaluate large volumes of transaction data and other data sources that traditional business systems would be unable to tackle. Data-driven and knowledge-driven approaches and techniques have been widely used in intelligent decision-making, and they are increasingly attracting attention due to their importance and effectiveness in addressing uncertainty and incompleteness. INFUS 2019 focused on intelligent and fuzzy systems with applications in big data analytics and decision-making, providing an international forum that brought together those actively involved in areas of interest to data science and knowledge engineering. These proceeding feature about 150 peer-reviewed papers from countries such as China, Iran, Turkey, Malaysia, India, USA, Spain, France, Poland, Mexico, Bulgaria, Algeria, Pakistan, Australia, Lebanon, and Czech Republic.
Дополнительное описание: Bipolar models for a more realistic representation and processing of human judgments, intentions and preferences: a role of fuzzy logic.- An Improved Fuzzy Cognitive Mapping Method.- A new community detection algorithm based on fuzzy measures.- A predicti



Intelligent Decision Making: An AI-Based Approach

Автор: Gloria Phillips-Wren; Nikhil Ichalkaranje
Название: Intelligent Decision Making: An AI-Based Approach
ISBN: 3642095534 ISBN-13(EAN): 9783642095535
Издательство: Springer
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Цена: 26120.00 р.
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Описание: Intelligent Decision Support Systems have the potential to transform human decision making by combining research in artificial intelligence, information technology, and systems engineering.

Intelligent Decision-making Models for Production and Retail Operations

Автор: Guo
Название: Intelligent Decision-making Models for Production and Retail Operations
ISBN: 3662526794 ISBN-13(EAN): 9783662526798
Издательство: Springer
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Цена: 16070.00 р.
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Описание: This book provides an overview of intelligent decision-making techniques and discusses their application in production and retail operations. Manufacturing and retail enterprises have stringent standards for using advanced and reliable techniques to improve decision-making processes, since these processes have significant effects on the performance of relevant operations and the entire supply chain. In recent years, researchers have been increasingly focusing attention on using intelligent techniques to solve various decision-making problems. The opening chapters provide an introduction to several commonly used intelligent techniques, such as genetic algorithm, harmony search, neural network and extreme learning machine. The book then explores the use of these techniques for handling various production and retail decision-making problems, such as production planning and scheduling, assembly line balancing, and sales forecasting.

Intelligent Decision Making in Quality Management

Автор: Cengiz Kahraman; Seda Yanik
Название: Intelligent Decision Making in Quality Management
ISBN: 3319343173 ISBN-13(EAN): 9783319343174
Издательство: Springer
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Цена: 16977.00 р.
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Описание: This book presents recently developed intelligent techniques with applications and theory in the area of quality management. The book consists of classical quality management topics dealing with intelligent techniques for solving the complex quality management problems.

Deep Learning Applications and Intelligent Decision Making in Engineering

Автор: Karthikrajan Senthilnathan, Balamurugan Shanmugam, Dinesh Goyal, Iyswarya Annapoorani, Ravi Samikannu
Название: Deep Learning Applications and Intelligent Decision Making in Engineering
ISBN: 1799821099 ISBN-13(EAN): 9781799821090
Издательство: Mare Nostrum (Eurospan)
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Цена: 24948.00 р.
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Описание: Provides practical applications of deep learning to improve decision-making methods and construct smart environments. Highlighting topics such as smart transportation, e-commerce, and cyber physical systems, this book is designed for engineers, computer scientists, programmers, software engineers, researchers, academics, and students.

Deep Learning Applications and Intelligent Decision Making in Engineering

Автор: Karthikrajan Senthilnathan, Balamurugan Shanmugam, Dinesh Goyal, Iyswarya Annapoorani, Ravi Samikannu
Название: Deep Learning Applications and Intelligent Decision Making in Engineering
ISBN: 1799821080 ISBN-13(EAN): 9781799821083
Издательство: Mare Nostrum (Eurospan)
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Цена: 32987.00 р.
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Описание: Deep learning includes a subset of machine learning for processing the unsupervised data with artificial neural network functions. The major advantage of deep learning is to process big data analytics for better analysis and self-adaptive algorithms to handle more data. When applied to engineering, deep learning can have a great impact on the decision-making process.

Deep Learning Applications and Intelligent Decision Making in Engineering is a pivotal reference source that provides practical applications of deep learning to improve decision-making methods and construct smart environments. Highlighting topics such as smart transportation, e-commerce, and cyber physical systems, this book is ideally designed for engineers, computer scientists, programmers, software engineers, research scholars, IT professionals, academicians, and postgraduate students seeking current research on the implementation of automation and deep learning in various engineering disciplines.

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: 27027.00 р.
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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,
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: 35897.00 р.
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.

Intelligent Techniques for Data Science

Автор: Akerkar
Название: Intelligent Techniques for Data Science
ISBN: 3319292056 ISBN-13(EAN): 9783319292052
Издательство: Springer
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Цена: 9362.00 р.
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Описание: This textbook provides readers with the tools, techniques and cases required to excel with modern artificial intelligence methods. These embrace the family of neural networks, fuzzy systems and evolutionary computing in addition to other fields within machine learning, and will help in identifying, visualizing, classifying and analyzing data to support business decisions./p> The authors, discuss advantages and drawbacks of different approaches, and present a sound foundation for the reader to design and implement data analytic solutions for real?world applications in an intelligent manner. Intelligent Techniques for Data Science also provides real-world cases of extracting value from data in various domains such as retail, health, aviation, telecommunication and tourism.

Biometric and Intelligent Decision Making Support

Автор: Arturas Kaklauskas
Название: Biometric and Intelligent Decision Making Support
ISBN: 3319136585 ISBN-13(EAN): 9783319136585
Издательство: Springer
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Цена: 19591.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Biometric and Intelligent Decision Making Support

Intelligent Decision Making in Quality Management

Автор: Cengiz Kahraman; Seda Yanik
Название: Intelligent Decision Making in Quality Management
ISBN: 3319244973 ISBN-13(EAN): 9783319244976
Издательство: Springer
Рейтинг:
Цена: 19591.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book presents recently developed intelligent techniques with applications and theory in the area of quality management. The book consists of classical quality management topics dealing with intelligent techniques for solving the complex quality management problems.

Biometric and Intelligent Decision Making Support

Автор: Arturas Kaklauskas
Название: Biometric and Intelligent Decision Making Support
ISBN: 3319352911 ISBN-13(EAN): 9783319352916
Издательство: Springer
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Цена: 14365.00 р.
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Описание: Introduction to Intelligent Decision Support Systems.- Intelligent Decision Support Systems.- Passive House Model for Quantitative and Qualitative Analyses and its Intelligent System.- Biometric and Intelligent Self-Assessment of Student Progress System.- Web-based Biometric Computer Mouse Advisory System to Analyze a User's Emotions and Work Productivity.- Student Progress Assessment with the Help of an Intelligent Pupil Analysis System.- Recommender System to Analyze Student's Academic Performance.

Intelligent Strategies for Meta Multiple Criteria Decision Making

Автор: Thomas Hanne
Название: Intelligent Strategies for Meta Multiple Criteria Decision Making
ISBN: 1461356326 ISBN-13(EAN): 9781461356325
Издательство: Springer
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Цена: 13974.00 р.
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Описание: Multiple criteria decision-making research has developed rapidly and has become a main area of research for dealing with complex decision problems which require the consideration of multiple objectives or criteria.


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