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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


External Links


  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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