
Pauli Miettinen
Professor of Data Science
Email:
pauli.miettinen@uef.fi
Phone: +358 2 9445 3410
Fax: +358 2 9445 7318
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
-
Serenade: An Approach for Differentially Private Greedy Redescription Mining.
Proc. 20th Anniversary Workshop on Knowledge Discovery in Inductive Databases,
,
31–46.
[manuscript | pdf (CEUR-WS) | source code] -
Recent Developments in Boolean Matrix Factorization.
Proc. 29th International Joint Conference on Artificial Intelligence Survey Track (IJCAI),
,
4922–4928.
10.24963/ijcai.2020/685
[pdf (IJCAI) | tech. rep.] -
Recent Developments in Boolean Matrix Factorization.
arXiv:2012.03127 [cs.LG]
.
[pdf (arXiv)] -
Biclustering and Boolean Matrix Factorization in Data Streams.
Proc. VLDB Endowment (PVLDB)
13(10),
,
1709–1722.
10.14778/3401960.3401968
[pdf (PVLDB) | source code | tech. rep.] -
Biclustering and Boolean Matrix Factorization in Data Streams.
arXiv:2012.03138 [cs.LG]
.
[pdf (arXiv) | source code] -
Lainvalmistelu tiedonhallinnan haasteena – tekoäly ratkaisuna?
Edilex
17/,
20942.
[pdf (Edilex)] -
HyGen: Generating Random Graphs with Hyperbolic Communities.
Applied Network Science
4,
,
53.
10.1007/s41109-019-0166-8
[pdf (Springer) | preliminary version | source code] -
Stability and dynamics of communities on online question-answer sites.
Social Networks
58,
,
50–58.
10.1016/j.socnet.2018.12.004
[pdf (Elsevier) | more information] -
Boolean matrix factorization meets consecutive ones property.
Proc. 2019 SIAM International Conference on Data Mining (SDM '19),
,
729–737.
10.1137/1.9781611975673.82
[manuscript | pdf (SIAM) | slides | tech. rep. | source code] -
Hybrid ASP-based Approach to Pattern Mining.
Theory and Practice of Logic Programming
.
10.1017/S1471068418000467
[pdf (CUP) | preliminary version]