Jan van Rijn

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

=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
 * 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, 2016). Acyclic Constraint Logic and Games. ICGA Journal, Vol 37, No. 1, arXiv:1604.05487
 * 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=

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