Taking Advantage of Highly-Correlated Attributes in Similarity Queries with Missing Values

Lucas S. Rodrigues, Mirela Teixeira Cazzolato, Agma Juci Machado Traina, Caetano Traina. Taking Advantage of Highly-Correlated Attributes in Similarity Queries with Missing Values. In Shin'ichi Satoh, Lucia Vadicamo, Arthur Zimek, Fabio Carrara, Ilaria Bartolini, Martin Aumüller 0001, Björn Þór Jónsson 0001, Rasmus Pagh, editors, Similarity Search and Applications - 13th International Conference, SISAP 2020, Copenhagen, Denmark, September 30 - October 2, 2020, Proceedings. Volume 12440 of Lecture Notes in Computer Science, pages 168-176, Springer, 2020. [doi]

@inproceedings{RodriguesCTT20,
  title = {Taking Advantage of Highly-Correlated Attributes in Similarity Queries with Missing Values},
  author = {Lucas S. Rodrigues and Mirela Teixeira Cazzolato and Agma Juci Machado Traina and Caetano Traina},
  year = {2020},
  doi = {10.1007/978-3-030-60936-8_13},
  url = {https://doi.org/10.1007/978-3-030-60936-8_13},
  researchr = {https://researchr.org/publication/RodriguesCTT20},
  cites = {0},
  citedby = {0},
  pages = {168-176},
  booktitle = {Similarity Search and Applications - 13th International Conference, SISAP 2020, Copenhagen, Denmark, September 30 - October 2, 2020, Proceedings},
  editor = {Shin'ichi Satoh and Lucia Vadicamo and Arthur Zimek and Fabio Carrara and Ilaria Bartolini and Martin Aumüller 0001 and Björn Þór Jónsson 0001 and Rasmus Pagh},
  volume = {12440},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-60936-8},
}