Interpretable nonnegative matrix decompositions. - Saara Hyvönen; Pauli Miettinen; Evimaria Terzi (KDD, 2008)

Finding Subgroups having Several Descriptions: Algorithms for Redescription Mining. - Arianna Gallo; Pauli Miettinen; Heikki Mannila (SDM, 2008)

The Boolean column and column-row matrix decompositions. - Pauli Miettinen (Data Min. Knowl. Discov., 2008)

On the Positive-Negative Partial Set Cover problem. - Pauli Miettinen (Inf. Process. Lett., 2008)

The Discrete Basis Problem. - Pauli Miettinen; Taneli Mielikäinen; Aristides Gionis; Gautam Das 001; Heikki Mannila (IEEE Trans. Knowl. Data Eng., 2008)

Sparse Boolean Matrix Factorizations. - Pauli Miettinen (ICDM, 2010)

Boolean Tensor Factorizations. - Pauli Miettinen (ICDM, 2011)

Model order selection for boolean matrix factorization. - Pauli Miettinen; Jilles Vreeken (KDD, 2011)

From Black and White to Full Colour: Extending Redescription Mining Outside the Boolean World. - Esther Galbrun; Pauli Miettinen (SDM, 2011)

Review of Mathematical tools for data mining: set theory, partial orders, combinatorics by Dan A. Simovici and Chabane Djeraba. - Pauli Miettinen (SIGACT News, 2011)

Dynamic Boolean Matrix Factorizations. - Pauli Miettinen (ICDM, 2012)

Siren: an interactive tool for mining and visualizing geospatial redescriptions. - Esther Galbrun; Pauli Miettinen (KDD, 2012)

On Finding Joint Subspace Boolean Matrix Factorizations. - Pauli Miettinen (SDM, 2012)

From black and white to full color: extending redescription mining outside the Boolean world. - Esther Galbrun; Pauli Miettinen (Stat. Anal. Data Min., 2012)

Discovering relations using matrix factorization methods. - Ervina Çergani; Pauli Miettinen (CIKM, 2013)

Discovering facts with boolean tensor tucker decomposition. - Dóra Erdös; Pauli Miettinen (CIKM, 2013)

Walk 'n' Merge: A Scalable Algorithm for Boolean Tensor Factorization. - Dóra Erdös; Pauli Miettinen (ICDM, 2013)

Detecting Bicliques in GF[q]. - Jan Ramon; Pauli Miettinen; Jilles Vreeken (ECML/PKDD (1), 2013)

Fully dynamic quasi-biclique edge covers via Boolean matrix factorizations. - Pauli Miettinen (DyNetMM@SIGMOD, 2013)

Scalable Boolean Tensor Factorizations using Random Walks. - Dóra Erdös; Pauli Miettinen (CoRR, 2013)

Set Covering with Our Eyes Closed. - Fabrizio Grandoni 001; Anupam Gupta 001; Stefano Leonardi 001; Pauli Miettinen; Piotr Sankowski; Mohit Singh (SIAM J. Comput., 2013)

Interactive redescription mining. - Esther Galbrun; Pauli Miettinen (SIGMOD Conference, 2014)

MDL4BMF: Minimum Description Length for Boolean Matrix Factorization. - Pauli Miettinen; Jilles Vreeken (ACM Trans. Knowl. Discov. Data, 2014)

Mining Predictive Redescriptions with Trees. - Tetiana Zinchenko; Esther Galbrun; Pauli Miettinen (ICDM Workshops, 2015)

Generalized Matrix Factorizations as a Unifying Framework for Pattern Set Mining: Complexity Beyond Blocks. - Pauli Miettinen (ECML/PKDD (2), 2015)

Getting to Know the Unknown Unknowns: Destructive-Noise Resistant Boolean Matrix Factorization. - Sanjar Karaev; Pauli Miettinen; Jilles Vreeken (SDM, 2015)

Join Size Estimation on Boolean Tensors of RDF Data. - Saskia Metzler; Pauli Miettinen (WWW (Companion Volume), 2015)

On Defining SPARQL with Boolean Tensor Algebra. - Saskia Metzler; Pauli Miettinen (CoRR, 2015)

Clustering Boolean tensors. - Saskia Metzler; Pauli Miettinen (Data Min. Knowl. Discov., 2015)

What You Will Gain By Rounding: Theory and Algorithms for Rounding Rank. - Stefan Neumann 003; Rainer Gemulla; Pauli Miettinen (ICDM, 2016)

Analysing Political Opinions Using Redescription Mining. - Esther Galbrun; Pauli Miettinen (ICDM Workshops, 2016)

Hyperbolae are No Hyperbole: Modelling Communities That are Not Cliques. - Saskia Metzler; Stephan Günnemann; Pauli Miettinen (ICDM, 2016)

Cancer: Another Algorithm for Subtropical Matrix Factorization. - Sanjar Karaev; Pauli Miettinen (ECML/PKDD (2), 2016)

Capricorn: An Algorithm for Subtropical Matrix Factorization. - Sanjar Karaev; Pauli Miettinen (SDM, 2016)

Reductions for Frequency-Based Data Mining Problems. - Stefan Neumann 003; Pauli Miettinen (ICDM, 2017)

Redescription Mining: An Overview. - Esther Galbrun; Pauli Miettinen (IEEE Intell. Informatics Bull., 2017)

Redescription Mining - Esther Galbrun; Pauli Miettinen (Springer, 2017)

Random Graph Generators for Hyperbolic Community Structures. - Saskia Metzler; Pauli Miettinen (COMPLEX NETWORKS (1), 2018)

Latitude: A Model for Mixed Linear-Tropical Matrix Factorization. - Sanjar Karaev; James L. Hook; Pauli Miettinen (SDM, 2018)

From sets of good redescriptions to good sets of redescriptions. - Janis Kalofolias; Esther Galbrun; Pauli Miettinen (Knowl. Inf. Syst., 2018)

Mining Redescriptions with Siren. - Esther Galbrun; Pauli Miettinen (ACM Trans. Knowl. Discov. Data, 2018)

Boolean matrix factorization meets consecutive ones property. - Nikolaj Tatti; Pauli Miettinen (SDM, 2019)

HyGen: generating random graphs with hyperbolic communities. - Saskia Metzler; Pauli Miettinen (Appl. Netw. Sci., 2019)

Algorithms for approximate subtropical matrix factorization. - Sanjar Karaev; Pauli Miettinen (Data Min. Knowl. Discov., 2019)

Stability and dynamics of communities on online question-answer sites. - Saskia Metzler; Stephan Günnemann; Pauli Miettinen (Soc. Networks, 2019)

Hybrid ASP-based Approach to Pattern Mining. - Sergey Paramonov 001; Daria Stepanova 001; Pauli Miettinen (Theory Pract. Log. Program., 2019)

Recent Developments in Boolean Matrix Factorization. - Pauli Miettinen; Stefan Neumann 003 (IJCAI, 2020)

Biclustering and Boolean Matrix Factorization in Data Streams. - Stefan Neumann 003; Pauli Miettinen (Proc. VLDB Endow., 2020)

Serenade: An Approach for Differentially Private Greedy Redescription Mining. - Maiju Karjalainen; Esther Galbrun; Pauli Miettinen (KDID, 2022)

Visualizing Overlapping Biclusterings and Boolean Matrix Factorizations. - Thibault Marette; Pauli Miettinen; Stefan Neumann 003 (ECML/PKDD (1), 2023)

Differentially private tree-based redescription mining. - Matej Mihelcic; Pauli Miettinen (Data Min. Knowl. Discov., 2023)

Fast Redescription Mining Using Locality-Sensitive Hashing. - Maiju Karjalainen; Esther Galbrun; Pauli Miettinen (ECML/PKDD (7), 2024)

Finding Rule-Interpretable Non-Negative Data Representation. - Matej Mihelcic; Pauli Miettinen (IEEE Trans. Knowl. Data Eng., 2025)

Hashing for Fast Pattern Set Selection. - Maiju Karjalainen; Pauli Miettinen (CoRR, 2025)