Two Phases Anomaly Detection Based on Clustering and Visualization for Plastic Injection Molding Data

Seoyeong Lee, Yongwan Yun, Seonggwan Park, Sujeong Oh, Chaegyu Lee, Jongpil Jeong. Two Phases Anomaly Detection Based on Clustering and Visualization for Plastic Injection Molding Data. In Elhadi M. Shakshuki, Ansar-Ul-Haque Yasar, editors, The 13th International Conference on Ambient Systems, Networks and Technologies (ANT 2022) / The 5th International Conference on Emerging Data and Industry 4.0 (EDI40 2022) / Affiliated Workshops, March 22-25, 2022, Porto, Portugal. Volume 201 of Procedia Computer Science, pages 519-526, Elsevier, 2022. [doi]

@inproceedings{LeeYPOLJ22,
  title = {Two Phases Anomaly Detection Based on Clustering and Visualization for Plastic Injection Molding Data},
  author = {Seoyeong Lee and Yongwan Yun and Seonggwan Park and Sujeong Oh and Chaegyu Lee and Jongpil Jeong},
  year = {2022},
  doi = {10.1016/j.procs.2022.03.067},
  url = {https://doi.org/10.1016/j.procs.2022.03.067},
  researchr = {https://researchr.org/publication/LeeYPOLJ22},
  cites = {0},
  citedby = {0},
  pages = {519-526},
  booktitle = {The 13th International Conference on Ambient Systems, Networks and Technologies (ANT 2022) / The 5th International Conference on Emerging Data and Industry 4.0 (EDI40 2022) / Affiliated Workshops, March 22-25, 2022, Porto, Portugal},
  editor = {Elhadi M. Shakshuki and Ansar-Ul-Haque Yasar},
  volume = {201},
  series = {Procedia Computer Science},
  publisher = {Elsevier},
}