ROhAN: row-order agnostic null models for statistically-sound knowledge discovery

DOI10.1007/s10618-023-00938-4MaRDI QIDQ6115408

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Publication date: 10 August 2023

Published in: Data Mining and Knowledge Discovery (Search for Journal in Brave)

zbMATH Keywords

sequenceshypothesis testingpattern miningtransactions

Mathematics Subject Classification ID

Statistical aspects of big data and data science (62R07)

Cites Work

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• Monte Carlo null models for genomic data
• Maximum entropy models and subjective interestingness: an application to tiles in binary databases
• SPEck: mining statistically-significant sequential patterns efficiently with exact sampling
• A fast MCMC algorithm for the uniform sampling of binary matrices with fixed margins
• A tutorial on statistically sound pattern discovery
• Interesting Patterns
• Generalized Monte Carlo significance tests
• Testing Statistical Hypotheses
• Probability and Computing
• Sequential Monte Carlo Methods for Statistical Analysis of Tables

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