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Research Article
Inventory Processing and Query Management using Data Visualization
Usharani.K1
Karthikeyan.S2
Vivekan. O. P3
Amesh.J4
Anand.R.M5
1Assistant Professor, Department of Computer Science and Engineering, K.L.N. College of Engineering and Technology, Sivagangai, Tamilnadu, India. 2345Students, Department of Computer Science and Engineering, K.L.N. College of Engineering and Technology, Sivagangai, Tamilnadu, India.
Published Online: September-October 2024
Pages: 46-48
Cite this article
No DOIReferences
1. Juanjuan Li, Rui Qin, and Fei-Yue Wang, “The Future of Management: DAO to Smart Organizations and Intelligent Operations”, in
IEEE Access, vol. 53, pp. 3389-3399, 2023
2. S. Sakri et al., “A Comprehensive State-of-the-Art Survey on Data Visualization Tools: Research Developments, Challenges and Future
Domain Specific Visualization Framework”, in IEEE Access, vol. 10, pp. 96581 - 96601, 2022
3. M. Koschi and M. Althoff, “Set-based prediction of traffic participants considering occlusions and traffic rules,” IEEE Trans. Intell.
Veh., vol. 6, no. 2, pp. 249–265, Jun. 2021.
4. T. A. Stewart, Intellectual Capital: The New Wealth of Organization. New York, NY, USA: Crown Business, 1997.
5. P. Vanhulst, F. Evequoz, R. Tuor, and D. Lalanne, ‘‘A descriptive attribute976 based framework for annotations in data visualization,’’
in Proc. Int. Joint 977 Conf. Comput. Vis., Imag. Comput. Graph. Cham, Switzerland: Springer, 978 2018, pp. 143–166
IEEE Access, vol. 53, pp. 3389-3399, 2023
2. S. Sakri et al., “A Comprehensive State-of-the-Art Survey on Data Visualization Tools: Research Developments, Challenges and Future
Domain Specific Visualization Framework”, in IEEE Access, vol. 10, pp. 96581 - 96601, 2022
3. M. Koschi and M. Althoff, “Set-based prediction of traffic participants considering occlusions and traffic rules,” IEEE Trans. Intell.
Veh., vol. 6, no. 2, pp. 249–265, Jun. 2021.
4. T. A. Stewart, Intellectual Capital: The New Wealth of Organization. New York, NY, USA: Crown Business, 1997.
5. P. Vanhulst, F. Evequoz, R. Tuor, and D. Lalanne, ‘‘A descriptive attribute976 based framework for annotations in data visualization,’’
in Proc. Int. Joint 977 Conf. Comput. Vis., Imag. Comput. Graph. Cham, Switzerland: Springer, 978 2018, pp. 143–166
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