Research on Hot Spot Mining Technology for Network Public Opinion
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-8991-9_7
Reference10 articles.
1. Kolose, S., et al.: Cluster size prediction for military clothing using 3D body scan data. Appl. Ergon. 96(2), 103487–103497 (2021)
2. Solli, R., et al.: Unsupervised learning for identifying events in active target experiments. Nucl. Instrum. Methods Phys. Res., Sect. A 1010, 165461 (2021)
3. Chandel, A.K., et al.: Apple powdery mildew infestation detection and mapping using a high-resolution visible and multispectral aerial imaging technique. Scientia Horticulturae 287, 110228 (2021)
4. Kazuo, A.: CPI-model-based analysis of sparse K-means clustering algorithms. Int. J. Data Sci. Anal. 12, 229–248 (2021)
5. Marek, A.: Detection and classification of malicious flows in software-defined networks using data mining techniques. Sensors. 21(9), 2972 (2021)
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