Effective Evaluation Measures for Subspace Clustering of Data Streams

Marwan Hassani, Yunsu Kim, Seungjin Choi, Thomas Seidl. Effective Evaluation Measures for Subspace Clustering of Data Streams. In Jiuyong Li, Longbing Cao, Can Wang, Kay Chen Tan, Bo Liu, Jian Pei, Vincent S. Tseng, editors, Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2013 International Workshops: DMApps, DANTH, QIMIE, BDM, CDA, CloudSD, Gold Coast, QLD, Australia, April 14-17, 2013, Revised Selected Papers. Volume 7867 of Lecture Notes in Computer Science, pages 342-353, Springer, 2013. [doi]

@inproceedings{HassaniKCS13,
  title = {Effective Evaluation Measures for Subspace Clustering of Data Streams},
  author = {Marwan Hassani and Yunsu Kim and Seungjin Choi and Thomas Seidl},
  year = {2013},
  doi = {10.1007/978-3-642-40319-4_30},
  url = {http://dx.doi.org/10.1007/978-3-642-40319-4_30},
  researchr = {https://researchr.org/publication/HassaniKCS13},
  cites = {0},
  citedby = {0},
  pages = {342-353},
  booktitle = {Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2013 International Workshops: DMApps, DANTH, QIMIE, BDM, CDA, CloudSD, Gold Coast, QLD, Australia, April 14-17, 2013, Revised Selected Papers},
  editor = {Jiuyong Li and Longbing Cao and Can Wang and Kay Chen Tan and Bo Liu and Jian Pei and Vincent S. Tseng},
  volume = {7867},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-642-40318-7},
}