Détail de l'auteur
Auteur Nilanjan DEY |
Documents disponibles écrits par cet auteur (3)
Ajouter le résultat dans votre panier Faire une suggestion Affiner la recherche
Titre : Big Data Analytics for Intelligent Healthcare Management Type de document : e-book Auteurs : Nilanjan DEY Editeur : ELSEVIER SCIENCE Année de publication : 2019 ISBN/ISSN/EAN : 9780128181461 Note générale : copyrighted Langues : Anglais (eng) Résumé : Big Data Analytics for Intelligent Healthcare Management covers both the theory and application of hardware platforms and architectures, the development of software methods, techniques and tools, applications and governance, and adoption strategies for the use of big data in healthcare and clinical research. The book provides the latest research findings on the use of big data analytics with statistical and machine learning techniques that analyze huge amounts of real-time healthcare data. Examines the methodology and requirements for development of big data architecture, big data modeling, big data as a service, big data analytics, and moreDiscusses big data applications for intelligent healthcare management, such as revenue management and pricing, predictive analytics/forecasting, big data integration for medical data, algorithms and techniques, etc.Covers the development of big data tools, such as data, web and text mining, data mining, optimization, machine learning, cloud in big data with Hadoop, big data in IoT, and more Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88873272 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=490287
Titre : Healthcare Data Analytics and Management Type de document : e-book Auteurs : Nilanjan DEY Editeur : ELSEVIER SCIENCE Année de publication : 2018 ISBN/ISSN/EAN : 9780128153680 Note générale : copyrighted Langues : Anglais (eng) Résumé : Healthcare Data Analytics and Management help readers disseminate cutting-edge research that delivers insights into the analytic tools, opportunities, novel strategies, techniques and challenges for handling big data, data analytics and management in healthcare. As the rapidly expanding and heterogeneous nature of healthcare data poses challenges for big data analytics, this book targets researchers and bioengineers from areas of machine learning, data mining, data management, and healthcare providers, along with clinical researchers and physicians who are interested in the management and analysis of healthcare data. Covers data analysis, management and security concepts and tools in the healthcare domain Highlights electronic medical health records and patient information recordsDiscusses the different techniques to integrate Big data and Internet-of-Things in healthcare, including machine learning and data miningIncludes multidisciplinary contributions in relation to healthcare applications and challenges Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88873353 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=490306 Social Network Analytics : Computational Research Methods and Techniques / Nilanjan DEY / ELSEVIER SCIENCE (2018)
Titre : Social Network Analytics : Computational Research Methods and Techniques Type de document : e-book Auteurs : Nilanjan DEY Editeur : ELSEVIER SCIENCE Année de publication : 2018 ISBN/ISSN/EAN : 9780128154588 Note générale : copyrighted Langues : Anglais (eng) Résumé : Social Network Analytics: Computational Research Methods and Techniques focuses on various technical concepts and aspects of social network analysis. The book features the latest developments and findings in this emerging area of research. In addition, it includes a variety of applications from several domains, such as scientific research, and the business and industrial sectors. The technical aspects of analysis are covered in detail, including visualizing and modeling, network theory, mathematical models, the big data analytics of social networks, multidimensional scaling, and more. As analyzing social network data is rapidly gaining interest in the scientific research community because of the importance of the information and insights that can be culled from the wealth of data inherent in the various aspects of the network, this book provides insights on measuring the relationships and flows between people, groups, organizations, computers, URLs, and more. Examines a variety of data analytic techniques that can be applied to social networksDiscusses various methods of visualizing, modeling and tracking network patterns, organization, growth and changeCovers the most recent research on social network analysis and includes applications to a number of domains Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88873184 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=490279
LIBRARY - Campus Rouen
NEOMA Business School
pmb
-
59 Rue Taittinger, 51100 Reims
-
00 33 (0)3 26 77 46 15
Library Campus Reims
-
1 Rue du Maréchal Juin, BP 215
76825 Mont Saint Aignan cedex -
00 33 (0)2 32 82 58 26