1 |
Slusarczyk B. Industry 4.0: Are we ready? Polish J Manag Stud. 17, 2018.
|
2 |
Yao, L., Mao, C., & Luo, Y. (2019). Graph convolutional networks for text classification. Proceedings of the AAAI Conference on Artificial Intelligence, 33(01), 7370-7377.
|
3 |
Onan, A., Atik, E., & Yalcin, A. (2020). Machine learning approach for automatic categorization of service support requests on university information management system. International Conference on Intelligent and Fuzzy Systems, 1133-1139.
|
4 |
Kadhim, A. I. (2019). Survey on supervised machine learning techniques for automatic text classification. Artificial Intelligence Review, 52(1), 273-292.
DOI
|
5 |
Qawqzeh Y, Alharbi MT, Jaradat A, Abdul Sattar KN. A review of swarm intelligence algorithms deployment for scheduling and optimization in cloud computing environments. PeerJ Comput Sci. 2021 Aug 25;7:e696. doi: 10.7717/peerj-cs.696. PMID: 34541313; PMCID: PMC8409329.
DOI
|
6 |
Mohammed M, Khan MB, Bashier Mohammed BE. Machine learning: algorithms and applications. CRC Press; 2016
|
7 |
Li, Baoli & Yu, Shiwen & Lu, Qin. (2003). An Improved k-Nearest Neighbor Algorithm for Text Categorization.
|
8 |
Uysal, A. K. (2016). An improved global feature selection scheme for text classification. Expert Systems with Applications, 43, 82-92.
DOI
|
9 |
Sabbah, T., Ayyash, M., & Ashraf, M. (2018). Hybrid support vector machine based feature selection method for text classification. Int. Arab J. Inf. Technol., 15(3A), 599-609.
|
10 |
Sarker IH. Ai-driven cybersecurity: an overview, security intelligence modeling and research directions. SN Comput Sci. 2021
|
11 |
Srivastava, Durgesh & Bhambhu, L. (2010). Data classification using support vector machine. Journal of Theoretical and Applied Information Technology. 12. 1-7.
|
12 |
Mironczuk, M. M., & Protasiewicz, J. (2018). A recent overview of the state-of-the-art elements of text classification. Expert Systems with Applications, 106, 36-54.
DOI
|
13 |
Allahyari, M., Pouriyeh, S., Assefi, M., Safaei, S., Trippe, E. D., Gutierrez, J. B., & Kochut, K. (2017). A brief survey of text mining: Classification, clustering and extraction techniques. ArXiv Preprint ArXiv:1707.02919.
|
14 |
Cunningham-Nelson, S., Baktashmotlagh, M., & Boles, W. (2017). From review to rating: Exploring dependency measures for text classification. ArXiv Preprint ArXiv:1709.00813.
|
15 |
Abdulameer, A. S., Tiun, S., Sani, N. S., Ayob, M., & Taha, A. Y. (2020). Enhanced clustering models with wiki-based k-nearest neighbors-based representation for web search result clustering. Journal of King Saud University-Computer and Information Sciences.
|
16 |
Yu, P., Cui, V. Y., & Guan, J. (2021). Text Classification by using Natural Language Processing. Journal of Physics: Conference Series, 1802(4), 42010.
DOI
|