Choosing the Right Lens: Finding What is Interesting in Data Mining

Liqiang Geng, Howard J. Hamilton. Choosing the Right Lens: Finding What is Interesting in Data Mining. In Fabrice Guillet, Howard J. Hamilton, editors, Quality Measures in Data Mining. Volume 43 of Studies in Computational Intelligence, pages 3-24, Springer, 2007. [doi]

@incollection{GengH07,
  title = {Choosing the Right Lens: Finding What is Interesting in Data Mining},
  author = {Liqiang Geng and Howard J. Hamilton},
  year = {2007},
  doi = {10.1007/978-3-540-44918-8_1},
  url = {http://dx.doi.org/10.1007/978-3-540-44918-8_1},
  tags = {data-flow},
  researchr = {https://researchr.org/publication/GengH07},
  cites = {0},
  citedby = {0},
  pages = {3-24},
  booktitle = {Quality Measures in Data Mining},
  editor = {Fabrice Guillet and Howard J. Hamilton},
  volume = {43},
  series = {Studies in Computational Intelligence},
  publisher = {Springer},
  isbn = {978-3-540-44911-9},
}