Jan N. van Rijn, a Dutch computer scientist and Ph.D. student within the algorithms cluster [1] at Leiden Institute of Advanced Computer Science, Leiden University, where he already defended his Master's thesis in 2012 on game complexity [2] of Klondike, Mahjong, Nonogram and Dou Shou Qi (Jungle, Jungle Chess, Animals Chess) [3]. His research interests further include retrograde analysis, machine learning, and meta learning along with massively collaborative data mining [4], where data mining efforts are distributed to multiple collaborating agents - human or software [5].
Jan van Rijn [6]

Selected Publications

• Jan van Rijn (2012). Playing Games: The complexity of Klondike, Mahjong, Nonograms and Animal Chess. Master's thesis, Leiden Institute of Advanced Computer Science, pdf
• Jan van Rijn, Joaquin Vanschoren (2013). OpenML: An Open Science Platform for Machine Learning. BENELearn 2013 ^[8]
• Jan van Rijn, Jonathan K. Vis (2013). Complexity and Retrograde Analysis of the Game Dou Shou Qi. BNAIC 2013
• Hendrik Jan Hoogeboom, Walter Kosters, Jan van Rijn, Jonathan K. Vis (2014). Acyclic Constraint Logic and Games. ICGA Journal, Vol. 37, No. 1
• Jan van Rijn, Geoffrey Holmes, Bernhard Pfahringer, Joaquin Vanschoren (2014). Algorithm Selection on Data Streams. DS 2014
• Jan van Rijn, Geoffrey Holmes, Bernhard Pfahringer, Joaquin Vanschoren (2014). Towards Meta-learning over Data Streams. MetaSel 2014
• Jan van Rijn, Jonathan K. Vis (2014). Endgame Analysis of Dou Shou Qi. ICGA Journal, Vol. 37, No. 2, pdf

External Links

• Jan N. van Rijn - LIACS
• Jan van Rijn | LinkedIn

References

1. ^ Algorithms and Software Technology (AST) - LIACS - Leiden Institute of Advanced Computer Science
2. ^ Jan van Rijn (2012). Playing Games: The complexity of Klondike, Mahjong, Nonograms and Animal Chess. Master's thesis, Leiden Institute of Advanced Computer Science, pdf
3. ^ Jungle (board game) from Wikipedia
4. ^ Jan van Rijn | LinkedIn
5. ^ Steve Moyle (2005). Collaborative Data Mining. Data Mining and Knowledge Discovery Handbook, Springer
6. ^ Jan N. van Rijn - LIACS
7. ^ dblp: Jan N. van Rijn
8. ^ OpenML.org

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