big data and computational intelligence in networking pdf

Big Data And Computational Intelligence In Networking Pdf

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Becoming Human

Hybrid Computational Intelligence: Challenges and Utilities is a comprehensive resource that begins with the basics and main components of computational intelligence. It brings together many different aspects of the current research on HCI technologies, such as neural networks, support vector machines, fuzzy logic and evolutionary computation, while also covering a wide range of applications and implementation issues, from pattern recognition and system modeling, to intelligent control problems and biomedical applications. The book also explores the most widely used applications of hybrid computation as well as the history of their development. Each individual methodology provides hybrid systems with complementary reasoning and searching methods which allow the use of domain knowledge and empirical data to solve complex problems. His research interests include hybrid intelligence, pattern recognition, multimedia data processing, social networks and quantum computing.

Open in app. Sign in Get started. Follow Following. Stefan Kojouharov Mar 21, How data service providers acquire core competence throutechnology?

Computational Intelligence and Big Data Analytics

Artificial intelligence AI makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. Most AI examples that you hear about today — from chess-playing computers to self-driving cars — rely heavily on deep learning and natural language processing. Using these technologies, computers can be trained to accomplish specific tasks by processing large amounts of data and recognizing patterns in the data. The term artificial intelligence was coined in , but AI has become more popular today thanks to increased data volumes, advanced algorithms, and improvements in computing power and storage. Early AI research in the s explored topics like problem solving and symbolic methods. In the s, the US Department of Defense took interest in this type of work and began training computers to mimic basic human reasoning. This early work paved the way for the automation and formal reasoning that we see in computers today, including decision support systems and smart search systems that can be designed to complement and augment human abilities.

It seems that you're in Germany. We have a dedicated site for Germany. This book highlights major issues related to big data analysis using computational intelligence techniques, mostly interdisciplinary in nature. It comprises chapters on computational intelligence technologies, such as neural networks and learning algorithms, evolutionary computation, fuzzy systems and other emerging techniques in data science and big data, ranging from methodologies, theory and algorithms for handling big data, to their applications in bioinformatics and related disciplines. The book describes the latest solutions, scientific results and methods in solving intriguing problems in the fields of big data analytics, intelligent agents and computational intelligence. It reflects the state of the art research in the field and novel applications of new processing techniques in computer science. This book is useful to both doctoral students and researchers from computer science and engineering fields and bioinformatics related domains.

Glossary of artificial intelligence

A vast amount of big data is opening the era of the data-driven solutions which will shape communication networks. Current networks are often designed based on the static end-to-end design principle, and their complexity has dramatically increased over the past several decades, which hinders the efficient and intelligent provision of big data. Both networking for big data and big data analytics in networking applications pose great challenges for industry and academic researchers. Small devices are continuously generating data, which are processed, cached, analyzed, and finally stored on in-network storages e. From them, users efficiently and securely discover and fetch big data for diverse purposes.

In recent years, the need for smart equipment has increased exponentially with the upsurge in technological advances. To work to their fullest capacity, these devices need to be able to communicate with other devices in their network to exchange information and receive instructions. Computational Intelligence in the Internet of Things is an essential reference source that provides relevant theoretical frameworks and the latest empirical research findings in the area of computational intelligence and the Internet of Things.

Artificial intelligence AI is intelligence demonstrated by machines , unlike the natural intelligence displayed by humans and animals , which involves consciousness and emotionality. The distinction between the former and the latter categories is often revealed by the acronym chosen. Leading AI textbooks define the field as the study of " intelligent agents ": any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals. As machines become increasingly capable, tasks considered to require "intelligence" are often removed from the definition of AI, a phenomenon known as the AI effect.

Hybrid Computational Intelligence

Government works Printed on acid-free paper International Standard Book Number Hardback This book contains information obtained from authentic and highly regarded sources. The authors and. If any.

Big Data Analytics and Artificial Intelligence in Next-Generation Wireless Networks

This glossary of artificial intelligence is a list of definitions of terms and concepts relevant to the study of artificial intelligence , its sub-disciplines, and related fields. Related glossaries include Glossary of computer science , Glossary of robotics , and Glossary of machine vision. Also abduction. Also adaptive network-based fuzzy inference system.

Sherly Alphonse, Dejey Dharma 5. Blessy Trencia Lincy, N. Suresh Kumar. Furthermore, the book highlights recent research on representative techniques to elaborate how a data-centric system formed a powerful platform for the processing of cloud hosted multimedia big data and how it could be analyzed, processed and characterized by CI. The book also provides a view on how techniques in CI can offer solutions in modeling, relationship pattern recognition, clustering and other problems in bioengineering.

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