2009 RandomizationMethodsinDataMinin

• (Mannila, 2009) ⇒ Heikki Mannila. (2009). “Randomization Methods in Data Mining.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557023

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• http://scholar.google.com/scholar?q=%22Randomization+methods+in+data+mining%22+2009
• http://portal.acm.org/citation.cfm?doid=1557019.1557023&preflayout=flat#citedby

Quotes

Abstract

Data mining research has developed many algorithms for various analysis tasks on large and complex datasets. However, assessing the significance of data mining results has received less attention. Analytical methods are rarely available, and hence one has to use computationally intensive methods. Randomization approaches based on null models provide, at least in principle, a general approach that can be used to obtain empirical p-values for various types of data mining approaches. I review some of the recent work in this area, outlining some of the open questions and problems.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2009 RandomizationMethodsinDataMinin	Heikki Mannila			Randomization Methods in Data Mining				10.1145/1557019.1557023