Pauli Miettinen

According to our database, Pauli Miettinen authored at least 52 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Differentially private tree-based redescription mining.

Matej Mihelcic, Pauli Miettinen

Data Min. Knowl. Discov., 2023

Visualizing Overlapping Biclusterings and Boolean Matrix Factorizations.

Thibault Marette, Pauli Miettinen, Stefan Neumann

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

2022

Finding Rule-Interpretable Non-Negative Data Representation.

Matej Mihelcic, Pauli Miettinen

CoRR, 2022

Serenade: An Approach for Differentially Private Greedy Redescription Mining.

Maiju Karjalainen, Esther Galbrun, Pauli Miettinen

Proceedings of the 20th anniversary Workshop on Knowledge Discovery in Inductive Databases co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2022 (ECMLPKDD 2022), 2022

2020

Biclustering and Boolean Matrix Factorization in Data Streams.

Stefan Neumann, Pauli Miettinen

Proc. VLDB Endow., 2020

Recent Developments in Boolean Matrix Factorization.

Pauli Miettinen, Stefan Neumann

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Hybrid ASP-based Approach to Pattern Mining.

Sergey Paramonov, Daria Stepanova, Pauli Miettinen

Theory Pract. Log. Program., 2019

Stability and dynamics of communities on online question-answer sites.

Saskia Metzler, Stephan Günnemann, Pauli Miettinen

Soc. Networks, 2019

Algorithms for approximate subtropical matrix factorization.

Sanjar Karaev, Pauli Miettinen

Data Min. Knowl. Discov., 2019

HyGen: generating random graphs with hyperbolic communities.

Saskia Metzler, Pauli Miettinen

Appl. Netw. Sci., 2019

Boolean matrix factorization meets consecutive ones property.

Nikolaj Tatti, Pauli Miettinen

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

2018

Mining Redescriptions with Siren.

Esther Galbrun, Pauli Miettinen

ACM Trans. Knowl. Discov. Data, 2018

From sets of good redescriptions to good sets of redescriptions.

Janis Kalofolias, Esther Galbrun, Pauli Miettinen

Knowl. Inf. Syst., 2018

Latitude: A Model for Mixed Linear-Tropical Matrix Factorization.

Sanjar Karaev, James L. Hook, Pauli Miettinen

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Random Graph Generators for Hyperbolic Community Structures.

Saskia Metzler, Pauli Miettinen

Proceedings of the Complex Networks and Their Applications VII, 2018

2017

Redescription Mining

Esther Galbrun, Pauli Miettinen

Springer Briefs in Computer Science, Springer, ISBN: 978-3-319-72888-9, 2017

Redescription Mining: An Overview.

Esther Galbrun, Pauli Miettinen

IEEE Intell. Informatics Bull., 2017

Reductions for Frequency-Based Data Mining Problems.

Stefan Neumann, Pauli Miettinen

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016

Capricorn: An Algorithm for Subtropical Matrix Factorization.

Sanjar Karaev, Pauli Miettinen

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Cancer: Another Algorithm for Subtropical Matrix Factorization.

Sanjar Karaev, Pauli Miettinen

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Hyperbolae are No Hyperbole: Modelling Communities That are Not Cliques.

Saskia Metzler, Stephan Günnemann, Pauli Miettinen

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Analysing Political Opinions Using Redescription Mining.

Esther Galbrun, Pauli Miettinen

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

What You Will Gain By Rounding: Theory and Algorithms for Rounding Rank.

Stefan Neumann, Rainer Gemulla, Pauli Miettinen

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015

Clustering Boolean tensors.

Saskia Metzler, Pauli Miettinen

Data Min. Knowl. Discov., 2015

On Defining SPARQL with Boolean Tensor Algebra.

Saskia Metzler, Pauli Miettinen

CoRR, 2015

Join Size Estimation on Boolean Tensors of RDF Data.

Saskia Metzler, Pauli Miettinen

Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Getting to Know the Unknown Unknowns: Destructive-Noise Resistant Boolean Matrix Factorization.

Sanjar Karaev, Pauli Miettinen, Jilles Vreeken

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Generalized Matrix Factorizations as a Unifying Framework for Pattern Set Mining: Complexity Beyond Blocks.

Pauli Miettinen

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Mining Predictive Redescriptions with Trees.

Tetiana Zinchenko, Esther Galbrun, Pauli Miettinen

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014

MDL4BMF: Minimum Description Length for Boolean Matrix Factorization.

Pauli Miettinen, Jilles Vreeken

ACM Trans. Knowl. Discov. Data, 2014

Interactive redescription mining.

Esther Galbrun, Pauli Miettinen

Proceedings of the International Conference on Management of Data, 2014

2013

Set Covering with Our Eyes Closed.

Fabrizio Grandoni, Anupam Gupta, Stefano Leonardi, Pauli Miettinen, Piotr Sankowski, Mohit Singh

SIAM J. Comput., 2013

Scalable Boolean Tensor Factorizations using Random Walks.

Dóra Erdös, Pauli Miettinen

CoRR, 2013

Fully dynamic quasi-biclique edge covers via Boolean matrix factorizations.

Pauli Miettinen

Proceedings of the Workshop on Dynamic Networks Management and Mining, 2013

Detecting Bicliques in GF[q].

Jan Ramon, Pauli Miettinen, Jilles Vreeken

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Walk 'n' Merge: A Scalable Algorithm for Boolean Tensor Factorization.

Dóra Erdös, Pauli Miettinen

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Discovering facts with boolean tensor tucker decomposition.

Dóra Erdös, Pauli Miettinen

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Discovering relations using matrix factorization methods.

Ervina Çergani, Pauli Miettinen

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012

From black and white to full color: extending redescription mining outside the Boolean world.

Esther Galbrun, Pauli Miettinen

Stat. Anal. Data Min., 2012

On Finding Joint Subspace Boolean Matrix Factorizations.

Pauli Miettinen

Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Siren: an interactive tool for mining and visualizing geospatial redescriptions.

Esther Galbrun, Pauli Miettinen

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Dynamic Boolean Matrix Factorizations.

Pauli Miettinen

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

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

From Black and White to Full Colour: Extending Redescription Mining Outside the Boolean World.

Esther Galbrun, Pauli Miettinen

Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Model order selection for boolean matrix factorization.

Pauli Miettinen, Jilles Vreeken

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Boolean Tensor Factorizations.

Pauli Miettinen

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

2010

Sparse Boolean Matrix Factorizations.

Pauli Miettinen

Proceedings of the ICDM 2010, 2010

2008

The Discrete Basis Problem.

Pauli Miettinen, Taneli Mielikäinen, Aristides Gionis, Gautam Das, Heikki Mannila

IEEE Trans. Knowl. Data Eng., 2008

On the Positive-Negative Partial Set Cover problem.

Pauli Miettinen

Inf. Process. Lett., 2008

The Boolean column and column-row matrix decompositions.

Pauli Miettinen

Data Min. Knowl. Discov., 2008

Finding Subgroups having Several Descriptions: Algorithms for Redescription Mining.

Arianna Gallo, Pauli Miettinen, Heikki Mannila

Proceedings of the SIAM International Conference on Data Mining, 2008

Interpretable nonnegative matrix decompositions.

Saara Hyvönen, Pauli Miettinen, Evimaria Terzi

Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008