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Librería: Romtrade Corp., STERLING HEIGHTS, MI, Estados Unidos de America
EUR 91,64
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Añadir al carritoCondición: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
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Librería: Books Puddle, New York, NY, Estados Unidos de America
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Añadir al carritoCondición: New. 1st edition NO-PA16APR2015-KAP.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 104,72
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Librería: California Books, Miami, FL, Estados Unidos de America
EUR 115,27
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EUR 117,24
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Añadir al carritoPaperback. Condición: 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.
Librería: Books From California, Simi Valley, CA, Estados Unidos de America
EUR 115,11
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Añadir al carritohardcover. Condición: Very Good.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 105,20
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Librería: Books From California, Simi Valley, CA, Estados Unidos de America
EUR 116,15
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Añadir al carritohardcover. Condición: Fine.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 120,65
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 111,63
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Original o primera edición
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Añadir al carritoCondición: New. 2024. 1st Edition. perfect. . . . . .
EUR 115,15
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Añadir al carritoPaperback. Condición: 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.
Publicado por Elsevier Science & Technology, San Francisco, 2025
ISBN 10: 0443296545 ISBN 13: 9780443296543
Idioma: Inglés
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 160,89
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Añadir al carritoPaperback. Condición: 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.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 154,87
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Añadir al carritoPaperback. Condición: Brand New. 518 pages. 9.45x6.70x9.61 inches. In Stock.
EUR 116,32
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Añadir al carritoCondición: 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.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 164,64
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Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 177,75
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Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 171,99
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Añadir al carritoCondición: New. 2024. 1st Edition. perfect. . . . . . Books ship from the US and Ireland.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 183,16
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Librería: Majestic Books, Hounslow, Reino Unido
EUR 177,88
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 185,01
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Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 167,82
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Añadir al carritoHardback. Condición: New. New copy - Usually dispatched within 4 working days. 480.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 187,24
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Añadir al carritoCondición: New. 1st edition NO-PA16APR2015-KAP.
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
EUR 185,66
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Añadir al carritoHRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 196,01
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Publicado por John Wiley & Sons Inc, New York, 2025
ISBN 10: 1394271042 ISBN 13: 9781394271047
Idioma: Inglés
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 198,38
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Añadir al carritoHardcover. Condición: new. Hardcover. This comprehensive volume delves deep into the diverse applications and implications of generative AI across accounting, finance, economics, business, and management, providing readers with a holistic understanding of this rapidly evolving landscape. Generative Artificial Intelligence in Finance: Large Language Models, Interfaces, and Industry Use Cases to Transform Accounting and Finance Processes provides a comprehensive guide to ethically harnessing generative AI systems to reshape financial management. Generative AI is a key theme across the accounting and finance sectors to drive significant optimizations leading to sustainability. Across 22 chapters, leading researchers supply innovative applications of large language models across the economic realm. Through detailed frameworks, real-world case studies, and governance recommendations, this book highlights applied research for generative AI in finance functions. Several chapters demonstrate how data-driven insights from AI systems can optimize complex financial processes to reduce resource usage, lower costs, and drive positive environmental impact over the long term. In addition, chapters on AI-enabled risk assessment, fraud analytics, and regulatory technology highlight applied research for generative AI in finance. The book also explores emerging applications like leveraging blockchain and metaverse interfaces to create generative AI models that can revolutionize areas from carbon credit trading to virtual audits. Overall, with in-depth applied research at the nexus of sustainability and optimization enabled by data science and generative AI, the book offers a compilation of best practices in leveraging AI for optimal, ethical, and future-oriented financial management. Audience The audience for this book is quite diverse, ranging from financial and accounting experts across banking, insurance, consultancies, regulatory agencies, and corporations seeking to enhance productivity and efficiency; business leaders want to implement ethical and compliant AI practices; researchers exploring the domain of AI and finance. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.