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Fast and Memory-Efficient Significant Pattern Mining via Permutation Testing

  • Published:2015-08-10 Issue: Volume: Page:
  • ISSN:
  • Container-title:Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
  • language:
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Author:

Llinares-López Felipe1,Sugiyama Mahito2,Papaxanthos Laetitia1,Borgwardt Karsten1

Affiliation:

1. ETH Zürich, Basel, Switzerland

2. Osaka University, Osaka, Japan

Funder

Alfried Krupp von Bohlen und 75 Halbach-Stiftung

Grant-in-Aid for Scientific Research (Research Activity Start-up)

SNSF Starting Grant Significant Pattern Mining

Marie Curie Initial Training Network MLPM2012

Publisher

ACM

Cited by 44 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Efficient Discovery of Significant Patterns with Few-Shot Resampling;Proceedings of the VLDB Endowment;2024-06

2. Synergistic Health Optimization through Integrated Fitness Management;International Journal of Advanced Research in Science, Communication and Technology;2024-05-30

3. A scalable, distributed framework for significant subgroup discovery;Knowledge-Based Systems;2024-01

4. FASM and FAST-YB: Significant Pattern Mining with False Discovery Rate Control;2023 IEEE International Conference on Data Mining (ICDM);2023-12-01

5. Alice  and the Caterpillar: A more descriptive null model for assessing data mining results;Knowledge and Information Systems;2023-11-02
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