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Рубрики:
Information resources management
Information Management
Gestion de l'information
Information resources management
Аннотация: Knowledge Engineering (KE) is a field within artificial intelligence that develops knowledge based systems. KE is the process of imitating how a human expert in a specific domain would act and take decisions. It contains large amounts of knowledge, like metadata and information about a data object that describes characteristics such as content, quality, and format, structure and processes. Such systems are computer programs that are the basis of how a decision is made or a conclusion is reached. It is having all the rules and reasoning mechanisms to provide solutions to real-world problems. This book presents an extensive collection of the recent findings and innovative research in the information system and KE domain. Highlighting the challenges and difficulties in implementing these approaches, this book is a critical reference source for academicians, professionals, engineers, technology designers, analysts, undergraduate and postgraduate students in computing science and related disciplines such as Information systems, Knowledge Engineering, Intelligent Systems, Artificial Intelligence, Cognitive Neuroscience, and Robotics. In addition, anyone who is interested or involved in sophisticated information systems and knowledge engineering developments will find this book a valuable source of ideas and guidance.
Доп. точки доступа:
Sharma, A.\editor.\
Kautish, S.\editor.\
Agrawal, P.\editor.\
Madaan, V.\editor.\
Gupta, C.\editor.\
Nanda, S.\editor.\
Держатели документа:
Полнотекстовая коллекция книг EBSCO eBooks (Шифр в БД-источнике (EBSKO): on1290484579)
Шифр в сводном ЭК: 45b3e66f854141c070b7d59fa35d42c8
Kulkarni S. Analysis of TCP Performance in Data Center Networks / S. Kulkarni, P. Agrawal, 2014 r=on-line. - Текст : электронный.Wireless communications / ed. P. Agrawal, 2007 r=on-line. - Текст : электронный.Jakimovski A. Walsh equiconvergence of complex interpolating polynomials / A. Jakimovski, J. Szabados, A. Sharma, 2006 r=on-line. - Текст : электронный.Agrawal P. Novel signatures of heavy quarks at the SppS and tevatron colliders / P.Agrawal,W.-S.Hou, 1992. - 45 p. - Текст : непосредственный.Energy Sustainability Through Green Energy / ed. A. Sharma, S. K. Kar, 2015 r=on-line. - Текст : электронный.Modern techniques for agricultural disease management and crop yield prediction / N. Pradeep, Sandeep Kautish, C.R. Nirmala, Vishal Goyal, Sonia Abdellatif, [editors]., 2020. - 15 с. (Введено оглавление). - Текст : электронный.Futuristic design and intelligent computational techniques in neuroscience and neuroengineering / [edited by] Harjit Pal Singh, Anurag Sharma, Vikas Khullar., [2022]. - 7 с. (Введено оглавление). - Текст : электронный.Sharma A.K. Medical Microbiology / A. K. Sharma, 2022. - 3 p). - Текст : электронный.Recent advances in drug delivery technology / IGI Global,, [2017]. - 13 с. (Введено оглавление). - Текст : электронный.Leveraging AI technologies for preventing and detecting sudden cardiac arrest and death / Pradeep Nijalingappa, Sandeep Kautish, Mangesh Ghonge and Renjith Ravi, editors., [2022]. - 10 с. - Текст : электронный.Bancila, Marius. Learn C# 8 / Marius Bancila, Ankit Sharma, Raffaele Rialdi., 2020. - 6 с. - Текст : электронный.Using strategy analytics to measure corporate performance and business value creation / Sandeep Kautish. - 11 с. - Текст : электронный.Knowledge engineering for modern information systems : methods, models and tools / edited by Anand Sharma, Sandeep Kautish, Prateek Agrawal, Vishu Madaan, Charu Gupta, Saurav Nanda., 2022. - 4 с. - Текст : электронный.Dynamic Business Strategy : Competing in a Fast-changing, Uncertain Context / edited by Martin Reeves, François Candelon., [2022]. - 10 с. - Текст : электронный.Knowledge Management and Web 3.0 : Next Generation Business Models / edited by Sandeep Kautish, Deepmala Singh, Zdzislaw Polkowski, Alka Mayura, Mary Jeyanthi., 2022. - 40 с. - Текст : электронный.
Ekren Gülay. Advanced MIS and Digital Transformation for Increased Creativity and Innovation in Business / Gülay. Ekren, 2019. - 5 p) (Введено оглавление). - Текст : электронный.Knowledge engineering for modern information systems : methods, models and tools / edited by Anand Sharma, Sandeep Kautish, Prateek Agrawal, Vishu Madaan, Charu Gupta, Saurav Nanda., 2022. - 4 с. - Текст : электронный.
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