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Paperback. Condition: New. The book provides comprehensive and cognitive approach to building and deploying sophisticated information systems. The book utilizes non-linear optimization techniques, fuzzy logic, and rough sets to model various real-world use cases for the digital era. The hybrid information system modeling handles both qualitative and quantitative data and can effectively handle uncertainty and imprecision in the data. The combination of non-linear optimization mechanisms, fuzzy logic, and rough sets provides a robust foundation for next-generation information systems that can fulfill the demands of adaptive, aware, and adroit software applications for the knowledge era. The book emphasizes the importance of the hybrid approach, which combines the strengths of both mathematical and AI techniques, to achieve a more comprehensive and effective modeling process. Hybrid information system modeling techniques combine different approaches, such as fuzzy logic, rough sets, and neural networks, to create models that can handle the complexity and uncertainty of real-world problems. These techniques provide a powerful tool for modeling and analyzing complex systems, and the applications of hybrid information system modeling demonstrate their potential for solving real-world problems in various fields.
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Published by Auerbach Publications, 2024
ISBN 10: 1032686723 ISBN 13: 9781032686721
Language: English
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Add to basketPaperback. Condition: New. Brand New ! Fast Delivery "International Edition " and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 4-6 Working days .and we do have flat rate for up to 2LB. Extra shipping charges will be requested This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
Published by Elsevier Science & Technology, San Francisco, 2025
ISBN 10: 0443296545 ISBN 13: 9780443296543
Language: English
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Paperback. Condition: new. Paperback. Applied Graph Data Science: Graph Algorithms and Platforms, Knowledge Graphs, Neural Networks, and Applied Use Cases delineates how graph data science significantly empowers the application of data science. The book discusses the emerging paradigm of graph data science in detail along with its practical research and real-world applications. Readers will be enriched with the knowledge of graph data science, graph analytics, algorithms, databases, platforms, and use cases across a variety of research and topics and applications. This book also presents how graphs are used as a programming language, especially demonstrating how Sleptsov Net Computing can contribute as an entirely graphical concurrent processing language for supercomputers. Graph data science is emerging as an expressive and illustrative data structure for optimally representing a variety of data types and their insightful relationships. These data structures include graph query languages, databases, algorithms, and platforms. From here, powerful analytics methods and machine learning/deep learning (ML/DL) algorithms are quickly evolving to analyze and make sense out of graph data. As a result, ground-breaking use cases across scientific research topics and industry verticals are being developed using graph data representation and manipulation. A wide range of complex business and scientific research requirements are efficiently represented and solved through graph data analysis, and Applied Graph Data Science: Graph Algorithms and Platforms, Knowledge Graphs, Neural Networks, and Applied Graph Data Science gives readers both the conceptual foundations and technical methods for applying these powerful techniques. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Add to basketPaperback. Condition: New. The book provides comprehensive and cognitive approach to building and deploying sophisticated information systems. The book utilizes non-linear optimization techniques, fuzzy logic, and rough sets to model various real-world use cases for the digital era. The hybrid information system modeling handles both qualitative and quantitative data and can effectively handle uncertainty and imprecision in the data. The combination of non-linear optimization mechanisms, fuzzy logic, and rough sets provides a robust foundation for next-generation information systems that can fulfill the demands of adaptive, aware, and adroit software applications for the knowledge era. The book emphasizes the importance of the hybrid approach, which combines the strengths of both mathematical and AI techniques, to achieve a more comprehensive and effective modeling process. Hybrid information system modeling techniques combine different approaches, such as fuzzy logic, rough sets, and neural networks, to create models that can handle the complexity and uncertainty of real-world problems. These techniques provide a powerful tool for modeling and analyzing complex systems, and the applications of hybrid information system modeling demonstrate their potential for solving real-world problems in various fields.
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Add to basketCondition: New. Dr. Ramakant Bhardwaj is currently working as Professor, Department of Mathematics, AMITY University Kolkata (W.B.). He also worked as deputy director research and development about five years in Technocrats TIT group Bhopal. He has published more than 1.
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Add to basketPaperback. Condition: new. Paperback. The book provides comprehensive and cognitive approach to building and deploying sophisticated information systems. The book utilizes non-linear optimization techniques, fuzzy logic, and rough sets to model various real-world use cases for the digital era. The hybrid information system modeling handles both qualitative and quantitative data and can effectively handle uncertainty and imprecision in the data. The combination of non-linear optimization mechanisms, fuzzy logic, and rough sets provides a robust foundation for next-generation information systems that can fulfill the demands of adaptive, aware, and adroit software applications for the knowledge era. The book emphasizes the importance of the hybrid approach, which combines the strengths of both mathematical and AI techniques, to achieve a more comprehensive and effective modeling process. Hybrid information system modeling techniques combine different approaches, such as fuzzy logic, rough sets, and neural networks, to create models that can handle the complexity and uncertainty of real-world problems. These techniques provide a powerful tool for modeling and analyzing complex systems, and the applications of hybrid information system modeling demonstrate their potential for solving real-world problems in various fields. This novel book provides comprehensive approach for graduate students to non-linear optimization techniques, fuzzy logic, and rough sets to model real-world situations. The book contains exercises of various level for students interested in combinat Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Add to basketPaperback. Condition: Brand New. 518 pages. 9.45x6.70x9.61 inches. In Stock.
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Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032785063 ISBN 13: 9781032785066
Language: English
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Hardcover. Condition: new. Hardcover. The integration of pioneering information and communication technologies has transformed the hospitality sector. This groundbreaking book delves into the transformative power of cutting-edge technologies in the world of high-end travel and accommodation. As the digital revolution continues to reshape our lives, this book offers an exclusive look at how the hospitality industry is adapting and evolving to cater to the sophisticated tastes of the modern, tech-savvy traveller.In this eye-opening exploration, readers will be taken on a journey through the latest innovations in artificial intelligence, blockchain, and the metaverse as they intersect with the world of luxury hospitality. From AI-driven concierge services and smart hotel rooms that cater to guests' every whim to the democratization of luxury experiences through blockchain-based loyalty programmes and the rise of virtual reality travel, this book reveals the extraordinary possibilities that lie ahead for the discerning traveller.With insights from international experts, this edited collection provides a comprehensive and engaging overview of the current and future trends shaping the industry and will be valuable to scholars and postgraduate researchers across the hospitality sector, innovation, and luxury management. This ground-breaking book delves into the transformative power of cutting-edge technologies in the world of high-end travel and accommodation. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032785063 ISBN 13: 9781032785066
Language: English
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Add to basketHRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.