Computational Intelligence for Information Retrieval

Computational Intelligence for Information Retrieval (Sensors Communication for Urban Intelligence) 1st Edition
Author: Dharmender Saini,Gopal Chaudhary,Vedika Gupta (Editor)
Publisher Finelybook 出版社:CRC Press; 1st edition (December 15, 2021)
Language 语言:English
pages 页数:312 pages
ISBN-10 书号:0367680807
ISBN-13 书号:9780367680800

Book Description
Computational Intelligence for Information Retrieval (Sensors Communication for Urban Intelligence)

This book provides a thorough understanding of the integration of computational intelligence with information retrieval including content-based image retrieval using intelligent techniques, hybrid computational intelligence for pattern recognition, intelligent innovative systems, and protecting and analysing big data on cloud platforms. This book aims to investigate how computational intelligence frameworks are going to improve information retrieval systems. The emerging and promising state-of-the-art of human-computer interaction is the motivation behind this book.

The book covers a wide range of topics, starting from the tools and languages of artificial intelligence to its philosophical implications, and thus provides a plethora of theoretical as well as experimental research, along with surveys and impact studies.

Further, the book aims to showcase the basics of information retrieval and computational intelligence for beginners as well as their integration and challenge discussions for existing practitioners, including using hybrid application of augmented reality, computational intelligence techniques for recommendation system in big data and a fuzzy-based approach for characterization and identification of sentiments.Computational Intelligence for Information Retrieval (Sensors Communication for Urban Intelligence)

This book provides a thorough understanding of the integration of computational intelligence with information retrieval including content-based image retrieval using intelligent techniques, hybrid computational intelligence for pattern recognition, intelligent innovative systems, and protecting and analysing big data on cloud platforms. This book aims to investigate how computational intelligence frameworks are going to improve information retrieval systems. The emerging and promising state-of-the-art of human-computer interaction is the motivation behind this book.

The book covers a wide range of topics, starting from the tools and languages of artificial intelligence to its philosophical implications, and thus provides a plethora of theoretical as well as experimental research, along with surveys and impact studies.

Further, the book aims to showcase the basics of information retrieval and computational intelligence for beginners as well as their integration and challenge discussions for existing practitioners, including using hybrid application of augmented reality, computational intelligence techniques for recommendation system in big data and a fuzzy-based approach for characterization and identification of sentiments.


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