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Research Article

Detecting Autism Spectrum Disorder Using Machine Learning Techniques

Open Access Peer Reviewed

Authors

  • Madhanraj T1
  • Tharun V2
  • Vishnu Kumar R3
  • Divya P4

1234 Computer science and engineering, Bannari Amman Institute of Technology, Tamilnadu, India

Article Information

DOI
No DOI
Published Online
March-April 2023
Pages
08-11
Article Type
Research Article
Check for updates
No DOI available for cross-reference

References

[1] "A framework for clustering evolving data streams," by C. C. Aggarwal, J. Han, J. Wang, and P. S. Yu, in Proceedings of the
International Conference on Very Large Data Bases (VLDB '03), 2019, pages 81–92.
[2] Data stream clustering: A study by J. A. Silva, E. R. Faria, R. C. Barros, E. R. Hruschka, A. C. P. L. F. d. Carvalho, and J. A.Gama,
A survey,” volume of ACM Computing Surveys 46, no. 1, pp. 13:1–13:31, Jul. 2019.
[3] "Density-based clustering over an evolving data stream with noise," by F. Cao, M. Ester, W. Qian, and A. Zhou, in Proceedingsof the
2006 SIAM International Conference on Data Mining. Pages SIAM, 2019, 328–339.
[4] "Density-based clustering for real-time stream data," by Y. Chen and L. Tu, is published in the Proceedings of the 13th ACM
SIGKDD International Conference on Knowledge Discovery and Data Mining. USA: New York, NY: ACM, 2019, pp. 133–142.
[5] "Stream data clustering based on grid density and attraction," by L. Tu and Y. Chen, in ACM Transactions on Knowledge
Discovery from Data, vol. 3, no. 3, pp. 1–27, 2019.
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