Corpus ID: 15543248

Significant Pattern Mining on Continuous Variables

@article{Sugiyama2017SignificantPM,
  title={Significant Pattern Mining on Continuous Variables},
  author={M. Sugiyama and K. Borgwardt},
  journal={ArXiv},
  year={2017},
  volume={abs/1702.08694}
}
Significant pattern mining, the search for sets of binary features that are statistically significantly enriched in a class of objects, is of fundamental importance in a wide range of applications from economics to statistical genetics. Still, all existing approaches make the restrictive assumption that the features are binary and require a binarization of continuous data during preprocessing, which often leads to a loss of information. Here, we solve the open problem of significant pattern… Expand
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References

SHOWING 1-10 OF 45 REFERENCES
Significant Pattern Mining with Confounding Variables
  • 10
  • Highly Influential
Discovering Significant Patterns
  • 214
  • Highly Influential
  • PDF
Itemsets for Real-Valued Datasets
  • Nikolaj Tatti
  • Computer Science, Mathematics
  • 2013 IEEE 13th International Conference on Data Mining
  • 2013
  • 7
  • PDF
Finding significant combinations of features in the presence of categorical covariates
  • 24
  • PDF
Mining gene expression data with pattern structures in formal concept analysis
  • 198
  • Highly Influential
  • PDF
Significant Subgraph Mining with Multiple Testing Correction
  • 26
  • PDF
Fast and Memory-Efficient Significant Pattern Mining via Permutation Testing
  • 39
  • PDF
Revisiting Numerical Pattern Mining with Formal Concept Analysis
  • 87
  • Highly Influential
  • PDF
Kingfisher: an efficient algorithm for searching for both positive and negative dependency rules with statistical significance measures
  • W. Hämäläinen
  • Mathematics, Computer Science
  • Knowledge and Information Systems
  • 2011
  • 36
  • Highly Influential
  • PDF
Contrast Data Mining: Concepts, Algorithms, and Applications
  • 81
...
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2
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5
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