Efficient Discovery of Partial Periodic-Frequent Patterns in Temporal Databases

So Nakamura, R. Uday Kiran, Likhitha Palla, Penugonda Ravikumar, Yutaka Watanobe, Minh-Son Dao, Koji Zettsu, Masashi Toyoda. Efficient Discovery of Partial Periodic-Frequent Patterns in Temporal Databases. In Christine Strauss, Gabriele Kotsis, A Min Tjoa, Ismail Khalil, editors, Database and Expert Systems Applications - 32nd International Conference, DEXA 2021, Virtual Event, September 27-30, 2021, Proceedings, Part I. Volume 12923 of Lecture Notes in Computer Science, pages 221-227, Springer, 2021. [doi]

@inproceedings{NakamuraKPRWDZT21,
  title = {Efficient Discovery of Partial Periodic-Frequent Patterns in Temporal Databases},
  author = {So Nakamura and R. Uday Kiran and Likhitha Palla and Penugonda Ravikumar and Yutaka Watanobe and Minh-Son Dao and Koji Zettsu and Masashi Toyoda},
  year = {2021},
  doi = {10.1007/978-3-030-86472-9_20},
  url = {https://doi.org/10.1007/978-3-030-86472-9_20},
  researchr = {https://researchr.org/publication/NakamuraKPRWDZT21},
  cites = {0},
  citedby = {0},
  pages = {221-227},
  booktitle = {Database and Expert Systems Applications - 32nd International Conference, DEXA 2021, Virtual Event, September 27-30, 2021, Proceedings, Part I},
  editor = {Christine Strauss and Gabriele Kotsis and A Min Tjoa and Ismail Khalil},
  volume = {12923},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-86472-9},
}