patternsthatmatter.org

Matthijs van Leeuwen ~ Patterns that Matter

New website for my research group: Explanatory Data Analysis. Our research propsal titled. Dementia back in the heart of the community. A consortium effort for which we will conduct the data scientific component, was granted by ZonMW. Explaining Deviating Subsets through Explanation Networks. With Antti Ukkonen and Vladimir Dzyuba, got accepted at ECML-PKDD 2017. Vladimir Dzyuba successfully defended his PhD thesis titled. Mine, Interact, Learn, Repeat: Interactive Pattern-Based Data Exploration. My main...

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Matthijs van Leeuwen ~ Patterns that Matter | patternsthatmatter.org Reviews

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New website for my research group: Explanatory Data Analysis. Our research propsal titled. Dementia back in the heart of the community. A consortium effort for which we will conduct the data scientific component, was granted by ZonMW. Explaining Deviating Subsets through Explanation Networks. With Antti Ukkonen and Vladimir Dzyuba, got accepted at ECML-PKDD 2017. Vladimir Dzyuba successfully defended his PhD thesis titled. Mine, Interact, Learn, Repeat: Interactive Pattern-Based Data Exploration. My main...

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2 that matter

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9 fast skyline

10 krimp

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Matthijs van Leeuwen ~ Patterns that Matter | patternsthatmatter.org Reviews

https://patternsthatmatter.org

New website for my research group: Explanatory Data Analysis. Our research propsal titled. Dementia back in the heart of the community. A consortium effort for which we will conduct the data scientific component, was granted by ZonMW. Explaining Deviating Subsets through Explanation Networks. With Antti Ukkonen and Vladimir Dzyuba, got accepted at ECML-PKDD 2017. Vladimir Dzyuba successfully defended his PhD thesis titled. Mine, Interact, Learn, Repeat: Interactive Pattern-Based Data Exploration. My main...

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patternsthatmatter.org

1

Publications ~ Matthijs van Leeuwen

http://www.patternsthatmatter.org/publications.php

Workshop and demo papers. Van Leeuwen, M. and Vreeken, J. Mining and Using Sets of Patterns through Compression. In: Frequent Pattern Mining. Aggarwal, C.C., and Han, J., eds), Springer, 2014. Van Leeuwen, M. Interactive Data Exploration using Pattern Mining. In: Interactive Knowledge Discovery and Data Mining: State-of-the-Art and Future Challenges in Biomedical Informatics. Holzinger, A. and Jurisica, I., eds), LNCS, Springer, 2014. Van Leeuwen, M., De Bie, T., Spyropoulou, E. and Mesnage, C. In: Data ...

2

Software ~ Matthijs van Leeuwen

http://www.patternsthatmatter.org/software.php

On this page you can find software (i.e., code and/or binaries) for a number of projects in which I have been involved. Are you looking for an implementation that is not listed here? DCM – Description-driven Community Mining. DSSD – Diverse Subgroup Discovery. Fast-Skyline – Efficient Discovery of the Cost-Influence Skyline. Krimp – Itemsets that Compress. SSG Miner – Subjective Interestingness of Subgraph Patterns. Spectra – Fast Estimation of the Pattern Frequency Spectrum. Use a traditional top- k.

3

Matthijs van Leeuwen ~ Patterns that Matter

http://www.patternsthatmatter.org/index.php

Expect the Unexpected - On the Significance of Subgroups. With Antti Ukkonen, got accepted at DS 2016. Hugo Proença has started as a PhD student in the SAPPAO project, in collaboration with IIT Roorkee and GE Aviation. He will work on pattern mining for flight data. Welcome Hugo! Simultaneous discovery of cancer subtypes and subtype features by molecular data integration. With Thanh Le Van et al., got accepted at Bioinformatics. Interactive Data Exploration and Analytics. Got accepted at KDD 2016. I am n...

4

CV ~ Matthijs van Leeuwen

http://www.patternsthatmatter.org/cv.php

Senior researcher in data mining. At the Leiden Institute of Advanced Computer Science (LIACS). Before obtaining his current position, Matthijs was a postdoctoral researcher at Universiteit Utrecht. For almost two years (2009-2011), working on Exceptional Model Mining. And in the Machine Learning group. In February 2010, which he wrote under supervision of prof.dr. Arno Siebes in the Algorithmic Data Analysis group. Pattern (set) mining, pattern-based modelling. Information theory for data mining. Invite...

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ecmlpkdd2016.org

Organization · ECML PKDD

http://www.ecmlpkdd2016.org/organization.html

General Chairs - general chairs@ecmlpkdd2016.org. Program Chairs - program chairs@ecmlpkdd2016.org. Journal Track Chairs - jt chairs@ecmlpkdd2016.org. Industrial Track Chairs - it chairs@ecmlpkdd2016.org. Local Organization Chairs - local chairs@ecmlpkdd2016.org. Workshop and Tutorial Chairs - wt chairs@ecmlpkdd2016.org. Awards Committee Chairs - awards@ecmlpkdd2016.org. Nectar track Chairs - nectar@ecmlpkdd2016.org. Demo Chairs - demo@ecmlpkdd2016.org. PhD Forum Chairs - phd chairs@ecmlpkdd2016.org.

ida2014.org

Organizers | IDA 2014

http://www.ida2014.org/organizers

Sponsors & supporters. Call for PhD posters & videos. The organizing team consists of the following people:. KU Leuven, Belgium). KU Leuven, Belgium). Brunel University, United Kingdom). Poster and Video Chair. Jean Monnet University, France). KU Leuven, Belgium). Márcia Oliveira (University of Porto, Portugal). Universiteit Antwerpen, Belgium). Universiteit Utrecht, Netherlands). Brunel University, United Kingdom). Aalto University, Finland). Ostfalia University of Applied Sciences, Germany).

usefulpatterns.org

Information Theoretic Methods in Data Mining - Tutorial at SIAM SDM May 2 2015 - Vancouver

http://usefulpatterns.org/itdm

Information Theoretic Methods in Data Mining. Saturday, May 2. Vancouver, Canada. In the last decade Information Theoretic methods. Slowly but surely became popular in. Community for selecting the best model for the data at hand. In this tutorial we present an overview of these methods. Starting from the basics, to how one defines and finds good solutions using Information Theory, to how such models provide highly competitive solutions to many data mining tasks. Slides for part 1. Slides for part 2.

ida2015.univ-st-etienne.fr

Organizers | IDA 2015

https://ida2015.univ-st-etienne.fr/organizers

Call for PhD posters and videos. Call for Proceedings papers. Call for Horizon presentations. The organizing team consists of the following people:. KU Leuven, Belgium). Tijl De Bie (University of Bristol, United Kingdom). LaHC, University of Saint-Etienne, France). Poster and Video Chair. Jesse Read (Aalto University, Finland). LaHC, University of Saint-Etienne, France). Ed Cohen (Imperial College London, United Kingdom). LaHC, University of Saint-Etienne, France). Paul Cohen (University of Arizona, USA).

dtai.cs.kuleuven.be

DTAI Members | DTAI Research Group

https://dtai.cs.kuleuven.be/people

The DTAI professors introduce themselves in short video messages. Maurice Bruynooghe, Emeritus. Academic Staff at Technology Campus. Raquo; Technology Campus Diepenbeek. Raquo; Technology Campus Geel, Research Group AdvISe. Raquo; Technology Campus De Nayer, Research group EAVISE. Research assistants and PhD students. Juan Aurelio Alvarado Ortega. Tim Op De Beéck. Cesar Ribeiro dos Santos. Amr Hany Saleh Shehata. Tim Van den Eynde. Matthias van der Hallen. Pedro Miguel Zuidberg Dos Martires. Christiaan L...

poloclub.gatech.edu

Interactive Data Exploration and Analytics (IDEA 2015) - Workshop at ACM SIGKDD Aug 10 2015 - Sydney

http://poloclub.gatech.edu/idea2015

IDEA 2015 was another great success! Join us at IDEA 2016 at KDD in San Francisco. On August 14, 2016! Submissions due May 27. Come join our Microsoft Research sponsored networking poster demo session at 4:10pm. Mon, Aug 10, at Hilton Sydney, Lv 4, Room 1)! Teacakes, croissants, appetizers and drinks will be served. KDD15 program chair Geoff Webb. And KDD14 program chair Jure Leskovec. Interactive Data Exploration and Analytics (IDEA). Monday, August 10. Sydney, Australia. Last years' IDEAs at KDD 2013.

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patternsthatmatter.org

Matthijs van Leeuwen ~ Patterns that Matter

New website for my research group: Explanatory Data Analysis. Our research propsal titled. Dementia back in the heart of the community. A consortium effort for which we will conduct the data scientific component, was granted by ZonMW. Explaining Deviating Subsets through Explanation Networks. With Antti Ukkonen and Vladimir Dzyuba, got accepted at ECML-PKDD 2017. Vladimir Dzyuba successfully defended his PhD thesis titled. Mine, Interact, Learn, Repeat: Interactive Pattern-Based Data Exploration. My main...

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