A Comprehensive Study of iDistance Partitioning Strategies for kNN Queries and High-Dimensional Data Indexing

Michael A. Schuh, Tim Wylie, Juan M. Banda, Rafal A. Angryk. A Comprehensive Study of iDistance Partitioning Strategies for kNN Queries and High-Dimensional Data Indexing. In Georg Gottlob, Giovanni Grasso, Dan Olteanu, Christian Schallhart, editors, Big Data - 29th British National Conference on Databases, BNCOD 2013, Oxford, UK, July 8-10, 2013. Proceedings. Volume 7968 of Lecture Notes in Computer Science, pages 238-252, Springer, 2013. [doi]

@inproceedings{SchuhWBA13,
  title = {A Comprehensive Study of iDistance Partitioning Strategies for kNN Queries and High-Dimensional Data Indexing},
  author = {Michael A. Schuh and Tim Wylie and Juan M. Banda and Rafal A. Angryk},
  year = {2013},
  doi = {10.1007/978-3-642-39467-6_22},
  url = {http://dx.doi.org/10.1007/978-3-642-39467-6_22},
  researchr = {https://researchr.org/publication/SchuhWBA13},
  cites = {0},
  citedby = {0},
  pages = {238-252},
  booktitle = {Big Data - 29th British National Conference on Databases, BNCOD 2013, Oxford, UK, July 8-10, 2013. Proceedings},
  editor = {Georg Gottlob and Giovanni Grasso and Dan Olteanu and Christian Schallhart},
  volume = {7968},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-642-39466-9},
}