Towards Efficient Discovery of Periodic-Frequent Patterns in Dense Temporal Databases Using Complements

Pamalla Veena, Sreepada Tarun, R. Uday Kiran, Minh-Son Dao, Koji Zettsu, Yutaka Watanobe, Ji Zhang. Towards Efficient Discovery of Periodic-Frequent Patterns in Dense Temporal Databases Using Complements. In Christine Strauss, Alfredo Cuzzocrea, Gabriele Kotsis, A Min Tjoa, Ismail Khalil, editors, Database and Expert Systems Applications - 33rd International Conference, DEXA 2022, Vienna, Austria, August 22-24, 2022, Proceedings, Part II. Volume 13427 of Lecture Notes in Computer Science, pages 204-215, Springer, 2022. [doi]

@inproceedings{VeenaTKDZWZ22,
  title = {Towards Efficient Discovery of Periodic-Frequent Patterns in Dense Temporal Databases Using Complements},
  author = {Pamalla Veena and Sreepada Tarun and R. Uday Kiran and Minh-Son Dao and Koji Zettsu and Yutaka Watanobe and Ji Zhang},
  year = {2022},
  doi = {10.1007/978-3-031-12426-6_16},
  url = {https://doi.org/10.1007/978-3-031-12426-6_16},
  researchr = {https://researchr.org/publication/VeenaTKDZWZ22},
  cites = {0},
  citedby = {0},
  pages = {204-215},
  booktitle = {Database and Expert Systems Applications - 33rd International Conference, DEXA 2022, Vienna, Austria, August 22-24, 2022, Proceedings, Part II},
  editor = {Christine Strauss and Alfredo Cuzzocrea and Gabriele Kotsis and A Min Tjoa and Ismail Khalil},
  volume = {13427},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-12426-6},
}