 | Computational Intelligence for Information Retrieval Subjects: Computer Science; Engineering & Technology; Artificial Intelligence; Computation; Computer Engineering; Electrical & Electronic Engineering; Human Computer Intelligence; Computer & Software Engineering; Electrical Engineering Communications; 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. The 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 systems in big data, and a fuzzy-based approach for characterization and identification of sentiments. Gopal Chaudhary is working as an Assistant Professor in Department of Information Technology, at Bharati Vidyapeeth's College of Engineering, New Delhi. Dharmendra Saini is a Professor in Department of Computer Science & Engineering, at Bharati Vidyapeeth's College of Engineering, New Delhi. Vedika Gupta is an Assistant Professor at Bharati Vidyapeeth's College of Engineering, New Delhi. |
