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Multi-Criteria Decision-Making Sorting Methods : Applications to Real-World Problems / ELSEVIER SCIENCE (2023)
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Titre : Multi-Criteria Decision-Making Sorting Methods : Applications to Real-World Problems Type de document : e-book Editeur : ELSEVIER SCIENCE Année de publication : 2023 Importance : 280 p. ISBN/ISSN/EAN : 978-0-323-85232-6 Langues : Anglais (eng) Mots-clés : Management
PRISE DE DECISION ; CONFLITRésumé : Multi Criteria Decision Making (MCDM) is a generic term for all methods that help people making decisions according to their preferences, in situations where there is more than one conflicting criterion. It is a branch of operational research dealing with finding optimal results in complex scenarios including various indicators, conflicting objectives and criteria. The approach of MCDM involves decision making concerning quantitative and qualitative factors. Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://ebookcentral.proquest.com/lib/ne [...] Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=574546
Titre : Advanced Data Mining Tools and Methods for Social Computing Type de document : e-book Auteurs : Sourav DE Editeur : ELSEVIER SCIENCE Année de publication : 2022 ISBN/ISSN/EAN : 9780323857086 Note générale : copyrighted Langues : Anglais (eng) Résumé : Advanced Data Mining Tools and Methods for Social Computing explores advances in the latest data mining tools, methods, algorithms and the architectures being developed specifically for social computing and social network analysis. The book reviews major emerging trends in technology that are supporting current advancements in social networks, including data mining techniques and tools. It also aims to highlight the advancement of conventional approaches in the field of social networking. Chapter coverage includes reviews of novel techniques and state-of-the-art advances in the area of data mining, machine learning, soft computing techniques, and their applications in the field of social network analysis. Provides insights into the latest research trends in social network analysis Covers a broad range of data mining tools and methods for social computing and analysis Includes practical examples and case studies across a range of tools and methods Features coding examples and supplementary data sets in every chapter Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88930382 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=549369 Artificial Intelligence for Healthcare Applications and Management / Boris GALITSKY / ELSEVIER SCIENCE (2022)
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Titre : Artificial Intelligence for Healthcare Applications and Management Type de document : e-book Auteurs : Boris GALITSKY Editeur : ELSEVIER SCIENCE Année de publication : 2022 ISBN/ISSN/EAN : 9780128245217 Note générale : copyrighted Langues : Anglais (eng) Résumé : Artificial Intelligence for Healthcare Applications and Management introduces application domains of various AI algorithms across healthcare management. Instead of discussing AI first and then exploring its applications in healthcare afterward, the authors attack the problems in context directly, in order to accelerate the path of an interested reader toward building industrial-strength healthcare applications. Readers will be introduced to a wide spectrum of AI applications supporting all stages of patient flow in a healthcare facility. The authors explain how AI supports patients throughout a healthcare facility, including diagnosis and treatment recommendations needed to get patients from the point of admission to the point of discharge while maintaining quality, patient safety, and patient/provider satisfaction. AI methods are expected to decrease the burden on physicians, improve the quality of patient care, and decrease overall treatment costs. Current conditions affected by COVID-19 pose new challenges for healthcare management and learning how to apply AI will be important for a broad spectrum of students and mature professionals working in medical informatics. This book focuses on predictive analytics, health text processing, data aggregation, management of patients, and other fields which have all turned out to be bottlenecks for the efficient management of coronavirus patients. Presents an in-depth exploration of how AI algorithms embedded in scheduling, prediction, automated support, personalization, and diagnostics can improve the efficiency of patient treatment Investigates explainable AI, including explainable decision support and machine learning, from limited data to back-up clinical decisions, and data analysis Offers hands-on skills to computer science and medical informatics students to aid them in designing intelligent systems for healthcare Informs a broad, multidisciplinary audience about a multitude of applications of machine learning and linguistics across various healthcare fields Introduces medical discourse analysis for a high-level representation of health texts Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88930558 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=550507 Classification Made Relevant : How Scientists Build and Use Classifications and Ontologies / Jules J. BERMAN / ELSEVIER SCIENCE (2022)
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Titre : Classification Made Relevant : How Scientists Build and Use Classifications and Ontologies Type de document : e-book Auteurs : Jules J. BERMAN Editeur : ELSEVIER SCIENCE Année de publication : 2022 Note générale : copyrighted Langues : Anglais (eng) Résumé : Classification Made Relevant explains how classifications and ontologies are designed, and how they are used to analyze scientific information. It is through our description of the relationships among classes of objects that we are able to simplify knowledge and explore the ways in which individual classified objects behave. The book begins by describing the fundamentals of classification and leads up to a description of how computer scientists use object-oriented programming languages to model classifications and ontologies. Numerous examples are chosen from the Classification of Life, the Periodic Table of the Elements, and the symmetry relationships contained within the Classification Theorem of Finite Simple Groups. When these three classifications are tied together, they provide a relational hierarchy connecting all of the natural sciences. This book is intended to reach a multidisciplinary audience of students and professionals working in the data sciences, the library sciences, and all of the STEM sciences. The chapters introduce and describe general concepts that can be understood by any intelligent reader. With each new concept, there follow practical examples selected from various scientific disciplines. In these cases, technical points and specialized vocabulary are linked to glossary items, where the item is clarified and expanded. Technical terms in the data sciences often have different meanings, depending on the reader's specific discipline. The word “ontology? has so many meanings, it has become meaningless. Skeptics can google on the word “ontology? to quickly confirm the inchoate status of this subject. In such cases, the glossary describes the different way the term has been used and will clarify its meaning within the book's context. For the benefit of computer scientists, the glossary contains short scripts written in Perl or Python or Ruby. Non-programmers will be spared from reading computer code, without missing out on the concepts covered in each chapter. By using the glossary links, every reader experiences a version of this book tailored to their personal needs and preferences. Explains the theory and the practice of classification. Emphasizes the importance of classifications and ontologies to the modern fields of mathematics, physics, chemistry, biology, and medicine. Includes numerous real-world examples demonstrating how bad construction technique can destroy the value of classifications and ontologies Explains how we define and understand the relationships among the classes within a classification, and how the properties of a class are inherited by its subclasses. Describes ontologies, and how they differ from classifications. Explains those conditions under which ontologies are useful. Explains how statements of meaning are properly expressed as triples. Shows how triples can be specified by popular semantic languages. Explains how triplestores (large collections of triples) can be usefully linked to classifications and ontologies. Demonstrates how classifications, ontologies, and triplestores are modeled by modern object-oriented languages. Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88930429 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=549858
Titre : Differential Equations with Mathematica Ed. 5 Type de document : e-book Auteurs : Martha L. ABELL Editeur : ELSEVIER SCIENCE Année de publication : 2022 ISBN/ISSN/EAN : 9780128241608 Note générale : copyrighted Langues : Anglais (eng) Résumé : Differential Equations with Mathematica, Fifth Edition uses the fundamental concepts of the popular platform to solve (analytically, numerically, and/or graphically) differential equations of interest to students, instructors, and scientists. Mathematica’s diversity makes it particularly well suited to performing calculations encountered when solving many ordinary and partial differential equations. In some cases, Mathematica’s built-in functions can immediately solve a differential equation by providing an explicit, implicit, or numerical solution. In other cases, Mathematica can be used to perform the calculations encountered when solving a differential equation. Because one goal of elementary differential equations courses is to introduce students to basic methods and algorithms so that they gain proficiency in them, nearly every topic covered this book introduces basic commands, also including typical examples of their application. A study of differential equations relies on concepts from calculus and linear algebra, so this text also includes discussions of relevant commands useful in those areas. In many cases, seeing a solution graphically is most meaningful, so the book relies heavily on Mathematica’s outstanding graphics capabilities. Demonstrates how to take advantage of the advanced features of Mathematica Introduces the fundamental theory of ordinary and partial differential equations using Mathematica to solve typical problems of interest to students, instructors, scientists, and practitioners in many fields Showcases practical applications and case studies drawn from biology, physics, and engineering Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88930444 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=549374 Digital Innovation for Healthcare in COVID-19 Pandemic: Strategies and Solutions / Patricia Ordóñez De PABLOS / ELSEVIER SCIENCE (2022)
PermalinkPermalinkEnsuring Global Food Safety : Exploring Global Harmonization Ed. 2 / Aleksandra MARTINOVIC / ELSEVIER SCIENCE (2022)
PermalinkPermalinkPermalinkImproving Sustainable Viticulture and Winemaking Practices / J. Miguel COSTA / ELSEVIER SCIENCE (2022)
PermalinkPermalinkMachine Learning for Biometrics : Concepts, Algorithms and Applications / Partha Pratim SARANGI / ELSEVIER SCIENCE (2022)
PermalinkMeasuring the User Experience : Collecting, Analyzing, and Presenting UX Metrics Ed. 3 / Bill ALBERT / ELSEVIER SCIENCE (2022)
PermalinkMeeting the Challenges of Data Quality Management / Laura SEBASTIAN-COLEMAN / ELSEVIER SCIENCE (2022)
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