A | B | C | D | E | F 
 G | H | I | J | K | L | M 
 N | O | P | Q | R | S | T 
 U | V | W | X | Y | Z 

max planck institut
informatik

Homepage

---

Who am I

---

I am a Professor of Data Science at University of Eastern Finland. Before that, I was a senior researcher and head of the area Data Mining at Databases and Information Systems department. I am also an Adjunct Professor (docent) of computer science at University of Helsinki.

---

What's new

---

• I've moved to Finland. My new homepage is https://cs.uef.fi/~pauli/
• Redescriptions are on a roll: new tutorial in KDD '18, London, UK; featured in MaxPlanckResearch 2/2017; new BSc thesis; new journal article; new book; new overview article in IEEE Intelligent Informatics Bulletin; and ACM TKDD finally published our paper that was accepted in 2016

---

Research Interests

---

My main research interest is in Algorithmic Data Analysis. In particular, I am interested in applying matrix and tensor factorizations over non-standard algebras – for example, Boolean or Tropical algebras – to data mining problems. Modelling data mining problems, such as subgraph discovery, as matrix factorization problems allows us to utilize existing work from these seemingly unrelated fields and gives novel insights when developing new methods.

My other main brach of research is in redescription mining. I am particularly interested on the applications of redescription mining to other fields of science, such as biology, material sciences, and political science. Increasing the applicability of redescription mining or matrix and tensor methods requires advances in interactive and visual data mining; my research on interaction and visualisation naturally connects to the above topics.

---

Publications

---

Peer-reviewed publications

• 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]
• Sanjar Karaev Pauli Miettinen Algorithms for Approximate Subtropical Matrix Factorization. Data Mining and Knowledge Discovery 33(2), 2019, 526–576.
  10.1007/s10618-018-0599-1
  [pdf (Springer) | tech. rep. | preliminary version 1 | preliminary version 2 | source code | manuscript]
• Saskia Metzler Pauli Miettinen Random Graph Generators for Hyperbolic Community Structures. Proc. 7th International Conference on Complex Networks and Their Applications, 2018, 680–693.
  10.1007/978-3-030-05411-3_54
  [pdf (Springer) | manuscript | source code]
• Sanjar Karaev Saskia Metzler Pauli Miettinen Logistic-Tropical Decompositions and Nested Subgraphs. Proc. 14th International Workshop on Mining and Learning with Graphs (MLG '18), 2018.
  [manuscript | pdf (workshop)]
• Esther Galbrun Pauli Miettinen Mining Redescriptions with Siren. ACM Transactions on Knowledge Discovery from Data, 12(1), 2018, 6.
  10.1145/3007212
  [pdf (ACM) | manuscript | source code]
• Sanjar Karaev James Hook Pauli Miettinen Latitude: A Model for Mixed Linear–Tropical Matrix Factorization. Proc. 2018 SIAM International Conference on Data Mining (SDM '18), 2018, 360–368.
  10.1137/1.9781611975321.41
  [pdf (SIAM) | manuscript | tech. rep. | source code]
• Esther Galbrun Pauli Miettinen Redescription Mining. SpringerBriefs in Computer Science, Springer International Publishing 2018
  10.1007/978-3-319-72889-6
  [Springer | manuscript]
• Janis Kalofolias Esther Galbrun Pauli Miettinen From Sets of Good Redescriptions to Good Sets of Redescriptions. Knowledge and Information Systems, 57(1), 2018, 21–54.
  10.1007/s10115-017-1149-7
  [pdf (Springer) | preliminary version | source code | manuscript]
• Stefan Neumann Pauli Miettinen Reductions for Frequency-Based Data Mining Problems. Proc. 2017 IEEE International Conference on Data Mining (ICDM '17), 2017, 997–1002.
  10.1109/ICDM.2017.128
  [manuscript | tech. rep. | source code | slides]
• Sergey Paramonov Daria Stepanova Pauli Miettinen Hybrid Approach to Constraint-based Pattern Mining. Proc. 11th International Conference on Rules and Reasoning (RR Rule-ML), 2017, 199–214.
  10.1007/978-3-319-61252-2_14
  [manuscript | pdf (Springer)]
• Esther Galbrun Pauli Miettinen Analysing Political Opinions Using Redescription Mining. Proc. 2016 IEEE International Conference on Data Mining Workshops (ICDMW '16), Data Mining in Politics (DMiP) Workshop, 2016, 422–427.
  10.1109/ICDMW.2016.0066
  [manuscript | pdf (IEEE) | Workshop | more information]
• Janis Kalofolias Esther Galbrun Pauli Miettinen From Sets of Good Redescriptions to Good Sets of Redescriptions. Proc. 2016 IEEE International Conference on Data Mining (ICDM '16), 2016, 211–220.
  10.1109/ICDM.2016.0032
  [manuscript | pdf (IEEE) | source code]
• Saskia Metzler Stephan Günnemann Pauli Miettinen Hyperbolae Are No Hyperbole: Modelling Communities That Are Not Cliques. Proc. 2016 IEEE International Conference on Data Mining (ICDM '16), 2016, 330–339.
  10.1109/ICDM.2016.0044
  [tech. rep. | manuscript | pdf (IEEE) | source code]
• Stefan Neumann Rainer Gemulla Pauli Miettinen What You Will Gain By Rounding: Theory and Algorithms for Rounding Rank. Proc. 2016 IEEE International Conference on Data Mining (ICDM '16), 2016, 380–389.
  10.1109/ICDM.2016.0049
  [tech. rep. | manuscript | pdf (IEEE) | source code]
• Nelson Mukuze Pauli Miettinen Interactive Constrained Boolean Matrix Factorization. Proc. KDD 2016 Workshop on Interactive Data Exploration and Analytics (IDEA '16), 2016.
  [manuscript | Workshop]
• Sanjar Karaev Pauli Miettinen Cancer: Another Algorithm for Subtropical Matrix Factorization. Proc. 2016 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML PKDD '16), LNCS vol. 9852, 2016, 576–592.
  10.1007/978-3-319-46227-1_36
  [manuscript | pdf (Springer) | source code]
• Sanjar Karaev Pauli Miettinen Capricorn: An Algorithm for Subtropical Matrix Factorization. Proc. 2016 SIAM International Conference on Data Mining (SDM '16), 2016, 702–710.
  10.1137/1.9781611974348.79
  [manuscript | pdf (SIAM) | source code]
• Tetiana Zinchenko Esther Galbrun Pauli Miettinen Mining Predictive Redescriptions with Trees. Proc. 2015 IEEE International Conference on Data Mining Workshop (ICDMW '15), 2015, 1672–1675.
  10.1109/ICDMW.2015.123
  [manuscript | pdf (IEEE) | more information]
• Pauli Miettinen Generalized Matrix Factorizations as a Unifying Framework for Pattern Set Mining: Complexity Beyond Blocks. Proc. 2015 European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD '15), LNCS vol. 9285, 2015, 36–52.
  10.1007/978-3-319-23525-7_3
  [manuscript | pdf (Springer) | slides]
• Saskia Metzler Pauli Miettinen Clustering Boolean Tensors. Data Mining and Knowledge Discovery 29(5), 2015, 1343–1373.
  10.1007/s10618-015-0420-3
  [tech. rep. | manuscript | pdf (Springer) | source code]
• Saskia Metzler Pauli Miettinen Join Size Estimation on Boolean Tensors of RDF Data. WWW 2015 Companion Volume, 2015, 77–78.
  10.1145/2740908.2742738
  [manuscript | tech. rep. | pdf (WWW) | pdf (ACM)]
• Sanjar Karaev Pauli Miettinen Jilles Vreeken Getting to Know the Unknown Unknowns: Destructive-Noise Resistant Boolean Matrix Factorization. Proc. 2015 SIAM International Conference on Data Mining (SDM '15), 2015, 325–333.
  10.1137/1.9781611974010.37
  [manuscript | pdf (SIAM) | source code | presentation]
• Saskia Metzler Pauli Miettinen Clustering Boolean Tensors. ECML/PKDD 2014 PhD Session, 2014.
  [pdf]
• Pauli Miettinen Interactive Data Mining Considered Harmful (If Done Wrong). Proc. KDD 2014 Workshop on Interactive Data Exploration and Analytics (IDEA), 2014, 85–87.
  [pdf]
• Pauli Miettinen Jilles Vreeken MDL4BMF: Minimum Description Length for Boolean Matrix Factorization. ACM Transactions on Knowledge Discovery from Data 8(4), 2014, 18.
  10.1145/2601437
  [pdf (ACM) | tech. rep. | preliminary version | source code | manuscript]
• Esther Galbrun Pauli Miettinen Interactive Redescription Mining. Proc. 2014 ACM SIGMOD/PODS Conference. 2014, 1079–1082.
  10.1145/2588555.2594520
  [pdf (ACM) | pdf | more information]
• Dóra Erdős Pauli Miettinen Walk'n'Merge: A Scalable Algorithm for Boolean Tensor Factorization. Proc. 13^th IEEE International Conference on Data Mining (ICDM'13), 2013, 1037–1042.
  10.1109/ICDM.2013.141
  [pdf (IEEE) | manuscript | tech. rep. | source code]
• Dóra Erdős Pauli Miettinen Discovering Facts with Boolean Tensor Tucker Decomposition. Proc. 2013 ACM International Conference on Infortmation and Knowledge Management (CIKM '13), 2013, 1596–1572.
  10.1145/2505515.2507846
  [pdf (ACM) | manuscript | data]
• Ervina Cergani Pauli Miettinen Discovering Relations using Matrix Factorization Methods. Proc. 2013 ACM International Conference on Information and Knowledge Management (CIKM '13), 2013, 1549–1552.
  10.1145/2505515.2507841
  [pdf (ACM) | manuscript]
• Jan Ramon Pauli Miettinen Jilles Vreeken Detecting Bicliques in GF[q]. Proc. 2013 European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD '13), 2013, 509–524.
  [pdf (Springer) | manuscript]
• Pauli Miettinen Fully Dynamic Quasi-Biclique Edge Covers via Boolean Matrix Factorizations. Proc. 1^st ACM SIGMOD Workshop on Dynamic Networks Management and Mining (DyNetMM '13), 2013.
  10.1145/2489247.2489250
  [pdf (ACM) | manuscript]
• Fabrizio Grandoni Anupam Gupta Stefano Leonardi Pauli Miettinen Piotr Sankowski Mohit Singh Set Covering with Our Eyes Closed. SIAM Journal on Computing, 42(3), 2013, 808–830.
  10.1137/100802888
  [pdf (SIAM) | manuscript | preliminary version]
• Pauli Miettinen Dynamic Boolean Matrix Factorizations. Proc. 12^th IEEE International Conference on Data Mining (ICDM'12), 2012, 519–528.
  10.1109/ICDM.2012.118
  [manuscript | source code | slides]
• Esther Galbrun Pauli Miettinen A Case of Visual and Interactive Data Analysis: Geospatial Redescription Mining. ECML PKDD '12 Workshop on Instant Interactive Data Mining (IID '12), 2012
  [manuscript | Workshop]
• Esther Galbrun Pauli Miettinen Siren: An Interative Tool for Mining and Visualizing Geospatial Redescriptions—Demo. Proc. 18^th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-2012), 2012, 1544–1547.
  10.1145/2339530.2339776
  [pdf (ACM) | manuscript | more information]
• Esther Galbrun Pauli Miettinen From Black and White to Full Colour: Extending Redescription Mining Outside the Boolean World. Statistical Analysis and Data Mining 5(4), 2012, 284–303.
  10.1002/sam.11145
  [pdf (Wiley) | manuscript | preliminary version | source code]
• Pauli Miettinen On Finding Joint Subspace Boolean Matrix Factorizations. Proc. 2012 SIAM International Conference on Data Mining (SDM2012), 2012, 954–965.
  10.1137/1.9781611972825.82
  [pdf (SIAM) | manuscript]
• Pauli Miettinen Boolean Tensor Factorizations. Proc. 11^th IEEE International Conference on Data Mining (ICDM2011), 2011, 447–456.
  10.1109/ICDM.2011.28
  [pdf (IEEE) | manuscript | slides]
• Pauli Miettinen Jilles Vreeken Model Order Selection for Boolean Matrix Factorization. Proc. 17^th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-2011), 2011, 51–59.
  10.1145/2020408.2020424
  [pdf (ACM) | manuscript | slides | source code | tech. rep.]
• Esther Galbrun Pauli Miettinen From Black and White to Full Colour: Extending Redescription Mining Outside the Boolean World. Proc. 2011 SIAM International Conference on Data Mining (SDM2011), 2011, 546–557.
  [journal version | pdf (SIAM) | manuscript | source code]
• Pauli Miettinen Sparse Boolean Matrix Factorizations. Proc. 10^th IEEE International Conference on Data Mining (ICDM2010), 2010, 935–940.
  10.1109/ICDM.2010.93.
  [pdf (IEEE) | slides]
• Fabrizio Grandoni Anupam Gupta Stefano Leonardi Pauli Miettinen Piotr Sankowski Mohit Singh Set Covering with Our Eyes Closed. Proc. 49^th Annual IEEE Symposium on Foundations of Computer Science (FOCS), 2008, 347–356.
  [pdf (IEEE)]
• Pauli Miettinen The Boolean Column and Column-Row Matrix Decompositions. Data Mining and Knowledge Discovery 17(1), 2008, 39–56. (Best Knowledge Discovery Student Paper.)
  10.1007/s10618-008-0107-0.
  [pdf (Springer) | presentation (Videolectures.net) | slides]
  Proc. European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD), Part I, Lecture Notes in Artificial Intelligence 5211, Springer 2008, 17.
  10.1007/978-3-540-87479-9_15.
  [pdf (Springer)]
• Saara Hyvönen Pauli Miettinen Evimaria Terzi Interpretable Nonnegative Matrix Decompositions. Proc. 14^th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD), 2008, 345–353.
  10.1145/1401890.1401935.
  [pdf (ACM) | slides]
• Pauli Miettinen On the Positive–Negative Set Cover Problem. Information Processing Letters 108(4), 2008, 219–221.
  10.1016/j.ipl.2008.05.007.
  [manuscript | pdf (Elsevier)]
• Pauli Miettinen Taneli Mielikäinen Aristides Gionis Gautam Das Heikki Mannila The Discrete Basis Problem. IEEE Transactions on Knowledge and Data Engineering 20(10), October 2008, 1348–1362.
  10.1109/TKDE.2008.53.
  [preliminary version | pdf (IEEE) | source code]
• Arianna Gallo Pauli Miettinen Heikki Mannila Finding Subgroups having Several Descriptions: Algorithms for Redescription Mining. Proc. SIAM International Conference on Data Mining (SDM), 2008, 334–345.
  [pdf (SIAM)]
• Pauli Miettinen Taneli Mielikäinen Aristides Gionis Gautam Das Heikki Mannila The Discrete Basis Problem. Knowledge discovery in databases: PKDD 2006 – 10th European conference on principles and practice of knowledge discovery in databases, Berlin, Germany, September 2006, Lecture Notes in Artificial Intelligence, 4213, Springer 2006, 335–346. (PKDD Best Paper)
  [journal version | manuscript | source code]

Theses

• Pauli Miettinen Matrix Decomposition Methods for Data Mining: Computational Complexity and Algorithms. Publications of Department of Computer Science, A-2009-4, Department of Computer Science, University of Helsinki 2009 (Ph.D. thesis, monograph).
  Certificate of Recognition, ACM SIGKDD Doctoral Dissertation Award, 2010.
  [pdf]
• Pauli Miettinen The Discrete Basis Problem . Report C-2006-010, Department of Computer Science, University of Helsinki 2006 (M.Sc. thesis).
  [pdf | source code]

Other writings

• Sanjar Karaev James Hook Pauli Miettinen Latitude: A Model for Mixed Linear–Tropical Matrix Factorization. arXiv:1801.06136 [cs.LG] 2018.
  [pdf (arXiv) | source code]
• Esther Galbrun Pauli Miettinen Redescription Mining: An Overview. IEEE Intelligent Informatics Bulletin 18(2), 2017, 7–12.
  [pdf (IIB) | manuscript]
• Stefan Neumann Pauli Miettinen Reductions for Frequency-Based Data Mining Problems. arXiv:1709.00900 [cs.CC] 2017.
  [pdf (arXiv) | source code]
• Sanjar Karaev Pauli Miettinen Algorithms for Approximate Subtropical Matrix Factorization. arXiv:1707.08872 [cs.LG] 2017.
  [pdf (arXiv) | source code]
• Stefan Neumann Rainer Gemulla Pauli Miettinen What You Will Gain By Rounding: Theory and Algorithms for Rounding Rank. arXiv:1609.05034 [cs.DM] 2016.
  [pdf (arXiv)]
• Saskia Metzler Stephan Günnemann Pauli Miettinen Hyperbolae Are No Hyperbole: Modelling Communities That Are Not Cliques. arXiv:1602:04650 [cs.SI] 2016.
  [pdf (arXiv)]
• Saskia Metzler Pauli Miettinen On Defining SPARQL with Boolean Tensor Algebra. arXiv:1503.00301 [cs.DB] 2015
  [pdf (arXiv)]
• Saskia Metzler Pauli Miettinen Clustering Boolean Tensors. arXiv:1501.00696 [cs.NA] 2015.
  [pdf (arXiv)]
[an error occurred while processing this directive]
• Pauli Miettinen Jilles Vreeken MDL4BMF: Minimum Description Length for Boolean Matrix Factorization. Research Report MPI-I-2012-5-001, Max-Planck-Institut für Informatik 2012.
  [pdf | source code]
• Pauli Miettinen A review of Mathematical Tools for Data Mining: Set Theory, Partial Orders, Combinatorics by Dan A. Simovici and Chabane Djeraba. SIGACT News 42(2), 2011, 43–46.
  10.1145/1998037.1998049
  [pdf (ACM)]

---

Students

---

Current PhD students

• Sanjar Karaev
• Saskia Metzler

MSc and BSc Students

• Alexander Speicher (topic: Predicting the Expert Answers in Online Q&A Forums)
• Megan Humble (thesis: Redescription Mining on Financial Time Series Data)
• Ehsan Toosi (topic: Efficient and Scalable Algorithms for Boolean Matrix Factorization)
• Helge Dombrowski (topic: Scalable Boolean Tensor Factorizations)
• Janis Kalofolias (topic: Maximum-Entropy Models for Redescription Mining)
• Nelson Mukuze (topic: Interactive Constrained Boolean Matrix Factorization)
• Stefan Neumann (thesis: On Some Problems of Rounding Rank)
• Tetiana Zinchenko (thesis: Redescription Mining Over Non-Binary Data Sets Using Decision Trees)
• Sanjar Karaev (thesis: Matrix factorization over max-times algebra for data mining)
• Prashant Yadava (thesis: Boolean matrix factorization with missing values)
• Ervina Cergani (thesis: Relation extraction using matrix factorization methods)

---

Teaching

---

Winter Semester 2017–2018

• Tensors in Data Analysis block lecture, 5 credits

Summer Semester 2017

• Data Mining and Matrices advanced course, 6 credits

Winter Semester 2016–2017

• Binary Factorizations in Data Mining block seminar.

Summer Semester 2016

• Topics in Algorithmic Data Analysis advanced lecture, jointly with Jilles Vreeken.

Winter Semester 2015–2016

• Advanced Data Analysis with Matrices and Tensors block seminar.

Summer Semester 2015

• Data Mining and Matrices advanced lecture

Winter Semester 2014–2015

• Multi-View Data Mining block seminar.

Summer Semester 2014

• Topics in Algorithmic Data Analysis, jointly with Jilles Vreeken.

Winter Semester 2013–2014

• IMPECS Winter School on Data Analytics, 15–18 November, Indore, India, jointly with Rainer Gemulla
• Information Retrieval and Data Mining, jointly with Klaus Berberich.

Summer Semester 2013

• Data Mining and Matrices, jointly with Rainer Gemulla

Winter Semester 2012–2013

• Discrete topics in Data mining

Winter Semester 2011–2012

• Information Retrieval and Data Mining, jointly with Martin Theobald

Previous teaching

The list of courses I have teached in University of Helsinki can be found here.

---

Talks and Tutorials

---

• An invited talk on Hyperbolic Communities: Modelling Communities Beyond Cliques at Inria Nancy – Grand-Est research centre, 2017.
• An Introduction to Redescription Mining tutorial at SDM 2017
• An ECML-PKDD 2016 tutorial An Introduction to Redescription Mining with Esther Galbrun, 2016.
• An invited talk on Matrix Factorization Models for Patterns Beyond Blocks at Inria Nancy – Grand-Est research centre, 2016.
• An invited talk on Matrix Factorization Models for Patterns Beyond Blocks at Aalto University, 2016.
• An invited talk on Don't Panic: How to Enjoy & Survive a PhD at ICDM 2015 PhD Forum.
• An invited talk on Matrix Factorizations over Non-Conventional Algebras for Data Mining in Boston University, 2015.
• An invited lecture on Boolean Matrix Factorization in University of Mannheim, 2014.
• An invited talk on Boolean Matrix Factorisations in Data Mining (and Elsewhere) in Technische Universität Dresden, Institut für Algebra, 2014.
• An Spring workshop on Mining and Learning (SMiLe) 2014 talk on Dioids in Data Mining, 2014.
• Boolean Matrix and Tensor Decompositions, an invited talk at Tensor Methods for Machine Learning, an ECML PKDD 2013 workshop, 2013.
• An invited talk on Boolean Matrix Factorisations in Data Mining (and Elsewhere) in Inria Nancy – Grand-Est research centre, 2013.
• Joint MPI-INF/MPI-SWS Lecture on Boolean Matrix Factorisations & Data Mining, 2013
• ECML-PKDD 2012 tutorial: Decomposing Binary Matrices: Where Linear Algebra Meets Combinatorial Data Mining, 2012
• Boolean Matrix Factorizations for Data Mining, a guest lecture at Advanced Data Mining course at University of Antwerp, 2012
• Boolean Matrix Factorizations for Data Mining, a guest presentation at NRC Palo Alto, 2011
• Redescription Mining, a guest presentation at Lorentz Workshop on Mining Patterns and Subgroups, 2010

---

Other Academic Activity

---

I am an Action Editor for Data Mining and Knowledge Discovery (Springer).

I have been a programme committee member for the following conferences

• KDD 2018
• SDM 2018
• AAAI 2018
• WSDM 2018
• ECML PKDD 2017 (also in the Nectar track)
• ICML 2017
• KDD 2017 (best reviewer award)
• SDM 2017
• WSDM 2017
• ICDM 2016
• ECMLPKDD 2016 (area chair)
• KDD 2016
• SDM 2016
• ICDM 2015
• CIKM 2015
• ECML PKDD 2015
• KDD 2015
• SDM 2015
• ICDM 2014
• CIKM 2014
• ECML PKDD 2014 (area chair)
• ECML PKDD 2013
• CIKM 2013
• PODS 2013 (ERC)
• CIKM 2012
• ECML PKDD 2012
• ECML PKDD 2011
• SDM 2011
• ECML PKDD 2010
• SDM 2010
• ECML PKDD 2009

I have reviewed articles for the following journals

• ACM Transactions on Database Systems
• ACM Transactions on Knowledge Discovery from Data
• Data Mining and Knowledge Discovery
• Discrete Applied Mathematics
• IEEE Transactions on Computational Biology and Bioinformatics
• IEEE Transactions on Knowledge and Data Engineering
• IEEE Transactions on Neural Networks and Learning Systems
• IEEE Transactions on Pattern Analysis and Machine Intelligence
• Information systems
• Journal of Computer and System Sciences
• Knowledge and Information Systems.
• Machine Learning
• Statistical Analysis and Data Mining
• Transactions of the Association for Computational Linguistics
• VLDB Journal

I have held the following organizing committee positions

• Nectar track co-chair, ECML PKDD 2016
• Publicity chair, ECML PKDD 2014

I have reviewed articles for the following conferences

• ITCS 2017
• KDD 2012
• ESA 2010
• ESA 2009
• SDM 2009
• ICDM 2008
• KDD 2007
• ICDM 2007.

---

Recent Positions

---

• August 2018—
  Professor of Data Science, University of Eastern Finland
• February 2013–July 2018
  Senior Researcher, Max-Planck-Institut für Informatik
• July 2010–January 2013
  Post-doctoral fellow, Max-Planck-Institut für Informatik
• June 2009–June 2010
  Post-doctoral researcher, Helsinki Institute for Information Technology HIIT and University of Helsinki, Department of Computer Science
• January 2006–April 2009
  Graduate student, Helsinki Graduate School in Computer Science and Engineering HeCSE , Helsinki Institute for Information Technology HIIT, and Department of Computer Science, University of Helsinki
• January 2005–December 2005
  Research Assistant, Helsinki Institute for Information Technology HIIT and University of Helsinki, Department of Computer Science

---

Education

---

• June 2009:
  Ph.D. from University of Helsinki, Department of Computer Science
  Thesis: Matrix Decomposition Methods for Data Mining: Computational Complexity and Algorithms (advisor: Prof. Heikki Mannila)
  
• January 2006:
  M.Sc. from University of Helsinki, Department of Computer Science
  Thesis: The Discrete Basis Problem
  

• Pauli Miettinen:
  • Who am I
  • What's New
  • Research Interests
  • Publications
  • Students
  • Teaching
  • Talks & Tutorials
  • Othen Academic Activity
  • Recent Positions
  • Education

• Doctoral Research Program
• Max Planck Center
• Cluster of Excellence (MMCI)
• Computer Science Cluster