Next Generation Data Mining Tools: Power Laws and Self-similarity for Graphs, Streams and Traditional Data. Faloutsos, C. In Lavrac, N., Gamberger, D., Blockeel, H., & Todorovski, L., editors, Knowledge Discovery in Databases: PKDD 2003, 7th European Conference on Principles and Practice of Knowledge Discovery in Databases, Cavtat-Dubrovnik, Croatia, September 22-26, 2003, Proceedings, volume 2838, of Lecture Notes in Computer Science, pages 10–15, 2003. Springer.
Next Generation Data Mining Tools: Power Laws and Self-similarity for Graphs, Streams and Traditional Data [link]Paper  doi  bibtex   
@inproceedings{DBLP:conf/pkdd/Faloutsos03,
  author       = {Christos Faloutsos},
  editor       = {Nada Lavrac and
                  Dragan Gamberger and
                  Hendrik Blockeel and
                  Ljupco Todorovski},
  title        = {Next Generation Data Mining Tools: Power Laws and Self-similarity
                  for Graphs, Streams and Traditional Data},
  booktitle    = {Knowledge Discovery in Databases: {PKDD} 2003, 7th European Conference
                  on Principles and Practice of Knowledge Discovery in Databases, Cavtat-Dubrovnik,
                  Croatia, September 22-26, 2003, Proceedings},
  series       = {Lecture Notes in Computer Science},
  volume       = {2838},
  pages        = {10--15},
  publisher    = {Springer},
  year         = {2003},
  url          = {https://doi.org/10.1007/978-3-540-39804-2\_3},
  doi          = {10.1007/978-3-540-39804-2\_3},
  timestamp    = {Sun, 02 Jun 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/pkdd/Faloutsos03.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

Downloads: 0