A randomized approach for approximating the number of frequent sets

Mario Boley; Henrik Grosskreutz

doi:10.1109/ICDM.2008.85

A randomized approach for approximating the number of frequent sets

Mario Boley
, Henrik Grosskreutz

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

We investigate the problem of counting the number of frequent (item)sets-a problem known to be intractable in terms of an exact polynomial time computation. In this paper, we show that it is in general also hard to approximate. Subsequently, a randomized counting algorithm is developed using the Markov chain Monte Carlo method. While for general inputs an exponential running time is needed in order to guarantee a certain approximation bound, we empirically show that the algorithm still has the desired accuracy on real-world datasets when its running time is capped polynomially.

Original language	English
Title of host publication	Proceedings - 8th IEEE International Conference on Data Mining, ICDM 2008
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	43-52
Number of pages	10
ISBN (Print)	9780769535029
DOIs	https://doi.org/10.1109/ICDM.2008.85
State	Published - 2008
Externally published	Yes
Event	8th IEEE International Conference on Data Mining, ICDM 2008 - Pisa, Italy Duration: 15 Dec 2008 → 19 Dec 2008

Publication series

Name	Proceedings - IEEE International Conference on Data Mining, ICDM
ISSN (Print)	1550-4786
ISSN (Electronic)	2374-8486

Conference

Conference	8th IEEE International Conference on Data Mining, ICDM 2008
Country/Territory	Italy
City	Pisa
Period	15/12/08 → 19/12/08

ASJC Scopus subject areas

General Engineering

Access to Document

10.1109/ICDM.2008.85

Cite this

Boley, M., & Grosskreutz, H. (2008). A randomized approach for approximating the number of frequent sets. In Proceedings - 8th IEEE International Conference on Data Mining, ICDM 2008 (pp. 43-52). Article 4781099 (Proceedings - IEEE International Conference on Data Mining, ICDM). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDM.2008.85

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title = "A randomized approach for approximating the number of frequent sets",

abstract = "We investigate the problem of counting the number of frequent (item)sets-a problem known to be intractable in terms of an exact polynomial time computation. In this paper, we show that it is in general also hard to approximate. Subsequently, a randomized counting algorithm is developed using the Markov chain Monte Carlo method. While for general inputs an exponential running time is needed in order to guarantee a certain approximation bound, we empirically show that the algorithm still has the desired accuracy on real-world datasets when its running time is capped polynomially.",

author = "Mario Boley and Henrik Grosskreutz",

year = "2008",

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language = "English",

isbn = "9780769535029",

series = "Proceedings - IEEE International Conference on Data Mining, ICDM",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "43--52",

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address = "United States",

note = "8th IEEE International Conference on Data Mining, ICDM 2008 ; Conference date: 15-12-2008 Through 19-12-2008",

}

Boley, M & Grosskreutz, H 2008, A randomized approach for approximating the number of frequent sets. in Proceedings - 8th IEEE International Conference on Data Mining, ICDM 2008., 4781099, Proceedings - IEEE International Conference on Data Mining, ICDM, Institute of Electrical and Electronics Engineers Inc., pp. 43-52, 8th IEEE International Conference on Data Mining, ICDM 2008, Pisa, Italy, 15/12/08. https://doi.org/10.1109/ICDM.2008.85

A randomized approach for approximating the number of frequent sets. / Boley, Mario; Grosskreutz, Henrik.
Proceedings - 8th IEEE International Conference on Data Mining, ICDM 2008. Institute of Electrical and Electronics Engineers Inc., 2008. p. 43-52 4781099 (Proceedings - IEEE International Conference on Data Mining, ICDM).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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A randomized approach for approximating the number of frequent sets

Abstract

Publication series

Conference

ASJC Scopus subject areas

Access to Document

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