Knowledge engineering for modern information systems methods, models and tools
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 t...
| Другие авторы: | , , , , , |
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| Формат: | Электронная книга |
| Язык: | English |
| Публикация: |
Berlin ; Boston
Walter de Gruyter GmbH,
[2022]
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| Серии: | De Gruyter series on smart computing applications ;
v. 3. |
| Предметы: | |
| Online-ссылка: | EBSCOhost Перейти в каталог НБ ТГУ |
Оглавление:
- Knowledge engineering for industrial expert systems / P. Megaladevi
- Machine learning integrated blockchain model for Industry 4.0 smart applications / Saikat Samanta, Achyuth Sarkar, Charu Gupta, Aditi Sharma
- Prototyping the expectancy disconfirmation theory model for quality service delivery in federal university libraries in Nigeria / Kudirat Abiola Adegoke, Akor P. Usman, Mohamed Bitagi
- Design of chatbot using natural language processing / Anagha Shenoy R, Bhoomika M, Annaiah H
- Algorithm development based on an integrated approach for identifying cause and effect relationships between different factors / Neeraj Bhanot, Parth Padalkar
- Risk analysis and management in projects / Shubhika Gaur, Vibha Maheshwari
- Assessing and managing risks in smart computing applications / Sanjive Saxena
- COVID-19 visualization and exploratory data analysis / Ria Rawal, Kartik Goel, Akshay Gulati, Shivang Sharma, Palak Girdhar, Charu Gupta, Prateek Agrawal
- Business intelligence and decision support systems: business applications in the modern information system era / A. Ilmudeen
- Business intelligence implementation in different organizational setup evidence from reviewed literatures / Andualem Walelign Lale
- Conceptualization of a modern digital-driven health-care management information system (HMIS) / Hazik Mohamed
- Knowledge engine for a Hindi text-to-scene generation system / Priyanka Jain, Ram Bhavsar, B.V. Pawar, N.K. Jain, Hemant Darbari, Virendrakumar C. Bhavsar.