Alice  and the Caterpillar: A more descriptive null model for assessing data mining results

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

(2023) Maryam Abuissa et al.   DATA MINING AND KNOWLEDGE DISCOVERY

SPEck: mining statistically-significant sequential patterns efficiently with exact sampling

(2022) Steedman Jenkins et al.   DATA MINING AND KNOWLEDGE DISCOVERY

Gram mates, sign changes in singular values, and isomorphism

(2022) Sooyeong Kim et al.   LINEAR ALGEBRA AND ITS APPLICATIONS

Graph Generators

(2020) Angela Bonifati et al.   ACM COMPUTING SURVEYS

Efficient mining of the most significant patterns with permutation testing

(2020) Leonardo Pellegrina et al.   DATA MINING AND KNOWLEDGE DISCOVERY

Resampling‐based stepwise multiple testing procedures with applications to clinical trial data

(2020) Jiwei He et al.   PHARMACEUTICAL STATISTICS

2K+ Graph Construction Framework: Targeting Joint Degree Matrix and Beyond

(2019) Balint Tillman et al.   IEEE-ACM TRANSACTIONS ON NETWORKING

Identifying statistically significant combinatorial markers for survival analysis

(2018) Raissa T. Relator et al.   BMC Medical Genomics

A tutorial on statistically sound pattern discovery

(2018) Wilhelmiina Hämäläinen et al.   DATA MINING AND KNOWLEDGE DISCOVERY

New upper bounds for tight and fast approximation of Fisher’s exact test in dependency rule mining

(2016) Wilhelmiina Hämäläinen   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Computing exact permutation p-values for association rules

(2016) Jun Wu et al.   INFORMATION SCIENCES

On realizations of a joint degree matrix

(2015) Éva Czabarka et al.   DISCRETE APPLIED MATHEMATICS

Proof of uniform sampling of binary matrices with fixed row sums and column sums for the fast Curveball algorithm

(2015) C. J. Carstens   PHYSICAL REVIEW E

Sampling Motif-Constrained Ensembles of Networks

(2015) Rico Fischer et al.   PHYSICAL REVIEW LETTERS

Monte Carlo Null Models for Genomic Data

(2015) Egil Ferkingstad et al.   STATISTICAL SCIENCE

Quantifying randomness in real networks

(2015) Chiara Orsini et al.   Nature Communications

Randomizing bipartite networks: the case of the World Trade Web

(2015) Fabio Saracco et al.   Scientific Reports

Multiple hypothesis testing in genomics

(2014) Jelle J. Goeman et al.   STATISTICS IN MEDICINE

Statistical significance of combinatorial regulations

(2013) A. Terada et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

A statistical significance testing approach to mining the most informative set of patterns

(2012) Jefrey Lijffijt et al.   DATA MINING AND KNOWLEDGE DISCOVERY

Stochastic blockmodels and community structure in networks

(2011) Brian Karrer et al.   PHYSICAL REVIEW E

Maximum entropy models and subjective interestingness: an application to tiles in binary databases

(2010) Tijl De Bie   DATA MINING AND KNOWLEDGE DISCOVERY

StatApriori: an efficient algorithm for searching statistically significant association rules

(2009) Wilhelmiina Hämäläinen   KNOWLEDGE AND INFORMATION SYSTEMS

An Efficient MCMC Algorithm to Sample Binary Matrices with Fixed Marginals

(2008) Norman D. Verhelst   PSYCHOMETRIKA