2012 LinearSpaceDirectPatternSamplin

• (Boley et al., 2012) ⇒ Mario Boley, Sandy Moens, and Thomas Gärtner. (2012). “Linear Space Direct Pattern Sampling Using Coupling from the Past.” In: Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2012). ISBN:978-1-4503-1462-6 doi:10.1145/2339530.2339545

Subject Headings:

Cited By

• http://scholar.google.com/scholar?q=%222012%22+Linear+Space+Direct+Pattern+Sampling+Using+Coupling+from+the+Past
• http://dl.acm.org/citation.cfm?id=2339530.2339545&preflayout=flat#citedby

Quotes

Author Keywords

• Cftp; data mining; frequent sets; local patterns; sampling

Abstract

This paper shows how coupling from the past (CFTP) can be used to avoid time and memory bottlenecks in direct local pattern sampling procedures. Such procedures draw controlled amounts of suitably biased samples directly from the pattern space of a given dataset in polynomial time. Previous direct pattern sampling methods can produce patterns in rapid succession after some initial preprocessing phase. This preprocessing phase, however, turns out to be prohibitive in terms of time and memory for many datasets. We show how CFTP can be used to avoid any super-linear preprocessing and memory requirements. This allows to simulate more complex distributions, which previously were intractable. We show for a large number of public real-world datasets that these new algorithms are fast to execute and their pattern collections outperform previous approaches both in unsupervised as well as supervised contexts.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2012 LinearSpaceDirectPatternSamplin	Thomas Gärtner Sandy Moens Mario Boley			Linear Space Direct Pattern Sampling Using Coupling from the Past				10.1145/2339530.2339545		2012