Skip to content

Research at St Andrews

Closed frequent itemset mining with arbitrary side constraints

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Frequent itemset mining (FIM) is a method for finding regularities in transaction databases. It has several application areas, such as market basket analysis, genome analysis, and drug design. Finding frequent itemsets allows further analysis to focus on a small subset of the data. For large datasets the number of frequent itemsets can also be very large, defeating their purpose. Therefore, several extensions to FIM have been studied, such as adding high-utility (or low-cost) constraints and only finding closed (or maximal) frequent itemsets. This paper presents a constraint programming based approach that combines arbitrary side constraints with closed frequent itemset mining. Our approach allows arbitrary side constraints to be expressed in a high level and declarative language which is then translated automatically for efficient solution by a SAT solver. We compare our approach with state-of-the-art algorithms via the MiningZinc system (where possible) and show significant contributions in terms of performance and applicability.
Close

Details

Original languageEnglish
Title of host publication2018 IEEE International Conference on Data Mining (ICDM)
PublisherIEEE Computer Society
Number of pages9
StatePublished - 17 Nov 2018
EventWorkshop on Optimization Based Techniques for Emerging Data Mining Problems (OEDM 2018) - Sentosa Island, Singapore
Duration: 17 Nov 201820 Nov 2018
https://qizhiquan.github.io/OEDM-18/

Workshop

WorkshopWorkshop on Optimization Based Techniques for Emerging Data Mining Problems (OEDM 2018)
Abbreviated titleOEDM 2018
CountrySingapore
CitySentosa Island
Period17/11/1820/11/18
Internet address

    Research areas

  • Data mining, Pattern mining, Closed frequent itemset mining, Constraint modelling, Frequent itemset mining

Discover related content
Find related publications, people, projects and more using interactive charts.

View graph of relations

Related by author

  1. A framework for constraint based local search using ESSENCE

    Akgun, O., Attieh, S. W. A., Gent, I. P., Jefferson, C. A., Miguel, I. J., Nightingale, P. W., Salamon, A. Z., Spracklen, P. & Wetter, J. P. 13 Jul 2018 Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence. Lang, J. (ed.). International Joint Conferences on Artificial Intelligence, p. 1242-1248 7 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  2. Metamorphic testing of constraint solvers

    Akgun, O., Gent, I. P., Jefferson, C. A., Miguel, I. J. & Nightingale, P. W. 2018 Principles and Practice of Constraint Programming: 24th International Conference, CP 2018, Lille, France, August 27-31, 2018, Proceedings. Hooker, J. (ed.). Springer, p. 727-736 (Lecture Notes in Computer Science; vol. 11008)

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  3. Automatic discovery and exploitation of promising subproblems for tabulation

    Akgun, O., Gent, I. P., Jefferson, C. A., Miguel, I. J., Nightingale, P. W. & Salamon, A. Z. 2018 Principles and Practice of Constraint Programming: 24th International Conference, CP 2018, Lille, France, August 27-31, 2018, Proceedings. Hooker, J. (ed.). Springer, p. 3-12 (Lecture Notes in Computer Science; vol. 11008)

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  4. Automatically improving constraint models in Savile Row

    Nightingale, P., Akgün, Ö., Gent, I. P., Jefferson, C., Miguel, I. & Spracklen, P. Oct 2017 In : Artificial Intelligence. 251, p. 35-61 27 p.

    Research output: Contribution to journalArticle

  5. Exploiting short supports for improved encoding of arbitrary constraints into SAT

    Akgün, Ö., Gent, I. P., Jefferson, C. A., Miguel, I. J. & Nightingale, P. W. 2016 Principles and Practice of Constraint Programming: 22nd International Conference, CP 2016, Toulouse, France, September 5-9, 2016, Proceedings. Rueher, M. (ed.). Springer, p. 3-12 (Lecture Notes in Computer Science; vol. 9892)

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

ID: 256767847