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Who am I?

I am a professor of data science at UEF's School of Computing, at Kuopio campus. Formerly I was a senior researcher at Max Planck Institute for Informatics in Saarbrücken, Germany. I am also a docent (adjunct professor) at University of Helsinki.

I study algorithmic data analysis, and I am interested to both theory and applications thereof. I lead the Algorithmic Data Analysis research group at UEF. My main research has been in the fields of Boolean and (sub-) tropical matrix and tensor factorizations, redescription mining, and social network analysis. You can find my publications in my Publications page.

What's new

• How to mine differentially private redescriptions with a greedy algorithm? Check out our new paper!
• The 21st IEEE International Conference on Data Mining (ICDM) will be held in Auckland, NZ (or online) and the organisation is looking strong!
• What are the recent developments on Boolean matrix factorization? Check out our survey at IJCAI 2020 (to be held online in Janunary 2021).
• Boolean matrix factorization in streams is possible (and biclustering provably good), straight from VLDB!
• Can AI help in preparing laws? Our interdisciplinary group takes a look (in Finnish only).

Recent publications

• Maiju Karjalainen Esther Galbrun Pauli Miettinen Serenade: An Approach for Differentially Private Greedy Redescription Mining. Proc. 20th Anniversary Workshop on Knowledge Discovery in Inductive Databases, 2023, 31–46.
  [manuscript | pdf (CEUR-WS) | source code]
• Pauli Miettinen Stefan Neumann Recent Developments in Boolean Matrix Factorization. Proc. 29th International Joint Conference on Artificial Intelligence Survey Track (IJCAI), 2020, 4922–4928.
  10.24963/ijcai.2020/685
  [pdf (IJCAI) | tech. rep.]
• Pauli Miettinen Stefan Neumann Recent Developments in Boolean Matrix Factorization. arXiv:2012.03127 [cs.LG] 2020.
  [pdf (arXiv)]
• Stefan Neumann Pauli Miettinen Biclustering and Boolean Matrix Factorization in Data Streams. Proc. VLDB Endowment (PVLDB) 13(10), 2020, 1709–1722.
  10.14778/3401960.3401968
  [pdf (PVLDB) | source code | tech. rep.]
• Stefan Neumann Pauli Miettinen Biclustering and Boolean Matrix Factorization in Data Streams. arXiv:2012.03138 [cs.LG] 2020.
  [pdf (arXiv) | source code]
• Harriet Lonka Anssi Keinänen Eeva Ovaska Kimmo Kiiski Jarkko Ylipaavalniemi Väinö Jääskinen Pauli Miettinen Lainvalmistelu tiedonhallinnan haasteena – tekoäly ratkaisuna? Edilex 17/2020, 20942.
  [pdf (Edilex)]
• Saskia Metzler Pauli Miettinen HyGen: Generating Random Graphs with Hyperbolic Communities. Applied Network Science 4, 2019, 53.
  10.1007/s41109-019-0166-8
  [pdf (Springer) | preliminary version | source code]
• Saskia Metzler Stephan Günnemann Pauli Miettinen Stability and dynamics of communities on online question-answer sites. Social Networks 58, 2019, 50–58.
  10.1016/j.socnet.2018.12.004
  [pdf (Elsevier) | more information]
• Nikolaj Tatti Pauli Miettinen Boolean matrix factorization meets consecutive ones property. Proc. 2019 SIAM International Conference on Data Mining (SDM '19), 2019, 729–737.
  10.1137/1.9781611975673.82
  [manuscript | pdf (SIAM) | slides | tech. rep. | source code]
• Sergey Paramonov Daria Stepanova Pauli Miettinen Hybrid ASP-based Approach to Pattern Mining. Theory and Practice of Logic Programming 2019.
  10.1017/S1471068418000467
  [pdf (CUP) | preliminary version]

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