ML Anthology

The Role of Hierarchies in Exploratory Data Mining

Raghu Ramakrishnan
ECML-PKDD 2008 pp. 6
doi:10.1007/978-3-540-87479-9_5 /ecmlpkdd/2008/ramakrishnan2008ecmlpkdd-role/

Abstract

In a broad range of data mining tasks, the fundamental challenge is to efficiently explore a very large space of alternatives. The difficulty is two-fold: first, the size of the space raises computational challenges, and second, it can introduce data sparsity issues even in the presence of very large datasets. In this talk, well consider how the use of hierarchies (e.g., taxonomies, or the OLAP multidimensional model) can help mitigate the problem.

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Cite

Text

Ramakrishnan. "The Role of Hierarchies in Exploratory Data Mining." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2008. doi:10.1007/978-3-540-87479-9_5

Markdown

[Ramakrishnan. "The Role of Hierarchies in Exploratory Data Mining." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2008.](https://mlanthology.org/ecmlpkdd/2008/ramakrishnan2008ecmlpkdd-role/) doi:10.1007/978-3-540-87479-9_5

BibTeX

@inproceedings{ramakrishnan2008ecmlpkdd-role,
  title     = {{The Role of Hierarchies in Exploratory Data Mining}},
  author    = {Ramakrishnan, Raghu},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2008},
  pages     = {6},
  doi       = {10.1007/978-3-540-87479-9_5},
  url       = {https://mlanthology.org/ecmlpkdd/2008/ramakrishnan2008ecmlpkdd-role/}
}