Knowledge discovery computing for management
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DOI: 10.1007/s10799-020-00315-3
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References listed on IDEAS
- Kyungyong Chung & Hoill Jung, 2020. "Knowledge-based dynamic cluster model for healthcare management using a convolutional neural network," Information Technology and Management, Springer, vol. 21(1), pages 41-50, March.
- Seong-Taek Park & Jae-Rim Jung & Chang Liu, 2020. "A study on policy measure for knowledge-based management in ICT companies: focused on appropriability mechanisms," Information Technology and Management, Springer, vol. 21(1), pages 1-13, March.
- Seolhwa Lee & Dongyub Lee & Danial Hooshyar & Jaechoon Jo & Heuiseok Lim, 2020. "Integrating breakdown detection into dialogue systems to improve knowledge management: encoding temporal utterances with memory attention," Information Technology and Management, Springer, vol. 21(1), pages 51-59, March.
- Youngseok Lee & Jungwon Cho, 2020. "Knowledge representation for computational thinking using knowledge discovery computing," Information Technology and Management, Springer, vol. 21(1), pages 15-28, March.
- Joo-Chang Kim & Kyungyong Chung, 2020. "Knowledge-based hybrid decision model using neural network for nutrition management," Information Technology and Management, Springer, vol. 21(1), pages 29-39, March.
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Cited by:
- Fu-Hsiang Chen & Ming-Fu Hsu & Kuang-Hua Hu, 2022. "Enterprise’s internal control for knowledge discovery in a big data environment by an integrated hybrid model," Information Technology and Management, Springer, vol. 23(3), pages 213-231, September.
- Mohammed Musa Bayero, 2023. "IT Infrastructure, Knowledge Management and Firm Competitiveness: Exploring Mediating Role of IT Outsourcing in Nigeria," International Journal of Global Business and Competitiveness, Springer, vol. 18(1), pages 43-58, June.
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