Walter A. Kosters

Frank W. Takes, Walter A. Kosters: Computing the Eccentricity Distribution of Large Graphs. Algorithms 6(1): 100-118 (2013)

Frank W. Takes, Walter A. Kosters: The Difficulty of Path Traversal in Information Networks. KDIR 2012: 138-144

Frank W. Takes, Walter A. Kosters: Determining the diameter of small world networks. CIKM 2011: 1191-1196

Antonio Terroba Acha, Walter A. Kosters, Jonathan K. Vis: Tactical Analysis Modeling through Data Mining - Pattern Discovery in Racket Sports. KDIR 2010: 176-181

Kees Joost Batenburg, Walter A. Kosters: Solving Nonograms by combining relaxations. Pattern Recognition 42(8): 1672-1683 (2009)

Joost Broekens, Doug DeGroot, Walter A. Kosters: Formal models of appraisal: Theory, specification, and computational model. Cognitive Systems Research 9(3): 173-197 (2008)

Hendrik Jan Hoogeboom, Walter A. Kosters, Jeroen F. J. Laros: Selection of DNA Markers. IEEE Transactions on Systems, Man, and Cybernetics, Part C 38(1): 26-32 (2008)

Tim K. Cocx, Walter A. Kosters, Jeroen F. J. Laros: Temporal Extrapolation within a Static Clustering. ISMIS 2008: 189-195

Kees Joost Batenburg, Walter A. Kosters: A Reasoning Framework for Solving Nonograms. IWCIA 2008: 372-383

Tim K. Cocx, Walter A. Kosters, Jeroen F. J. Laros: An Early Warning System for the Prediction of Criminal Careers. MICAI 2008: 77-89

Kai Ye, Walter A. Kosters, Adriaan P. IJzerman: An efficient, versatile and scalable pattern growth approach to mine frequent patterns in unaligned protein sequences. Bioinformatics 23(6): 687-693 (2007)

Edgar H. de Graaf, Joost N. Kok, Walter A. Kosters: Clustering Improves the Exploration of Graph Mining Results. AIAI 2007: 13-20

Joost Broekens, Walter A. Kosters, Fons J. Verbeek: On Affect and Self-adaptation: Potential Benefits of Valence-Controlled Action-Selection. IWINAC (1) 2007: 357-366

Edgar H. de Graaf, Walter A. Kosters, Joost N. Kok, Jeroen Kazius: Visualization and Grouping of Graph Patterns in Molecular Databases. SGAI Conf. 2007: 267-280

Walter A. Kosters, Jeroen F. J. Laros: Metrics for Mining Multisets. SGAI Conf. 2007: 293-303

Edgar H. de Graaf, Joost N. Kok, Walter A. Kosters: Clustering Co-occurrence of Maximal Frequent Patterns in Streams. CoRR abs/0705.0588 (2007)

Edgar H. de Graaf, Joost N. Kok, Walter A. Kosters: Clustering with Lattices in the Analysis of Graph Patterns. CoRR abs/0705.0593 (2007)

Edgar H. de Graaf, Joost N. Kok, Walter A. Kosters: Mining Patterns with a Balanced Interval. CoRR abs/0705.1110 (2007)

Jeroen S. de Bruin, Tim K. Cocx, Walter A. Kosters, Jeroen F. J. Laros, Joost N. Kok: Data Mining Approaches to Criminal Career Analysis. ICDM 2006: 171-177

Tim K. Cocx, Walter A. Kosters: A Distance Measure for Determining Similarity Between Criminal Investigations. Industrial Conference on Data Mining 2006: 511-525

Kees Joost Batenburg, Walter A. Kosters: A Neural Network Approach to Real-Time Discrete Tomography. IWCIA 2006: 389-403

Edgar H. de Graaf, Jeannette M. de Graaf, Walter A. Kosters: Consecutive Support: Better Be Close! CoRR abs/cs/0606024 (2006)

Kees Joost Batenburg, Walter A. Kosters: Neural Networks for Discrete Tomography. BNAIC 2005: 21-27

Edgar H. de Graaf, Walter A. Kosters: Efficient Feature Detection for Sequence Classification in a Receptor Database. BNAIC 2005: 81-88

Jeannette M. de Graaf, Renée X. de Menezes, Judith M. Boer, Walter A. Kosters: Frequent Itemsets for Genomic Profiling. CompLife 2005: 104-116

Michiel C. van Wezel, Walter A. Kosters: Nonmetric multidimensional scaling: Neural networks versus traditional techniques. Intell. Data Anal. 8(6): 601-613 (2004)

Ron Breukelaar, Erik D. Demaine, Susan Hohenberger, Hendrik Jan Hoogeboom, Walter A. Kosters, David Liben-Nowell: Tetris is hard, even to approximate. Int. J. Comput. Geometry Appl. 14(1-2): 41-68 (2004)

Hendrik Jan Hoogeboom, Walter A. Kosters: How to Construct Tetris Configurations. Int. J. Intell. Games & Simulation 3(2): 97-105 (2004)

Hendrik Jan Hoogeboom, Walter A. Kosters: Tetris and decidability. Inf. Process. Lett. 89(6): 267-272 (2004)

Jeroen Eggermont, Joost N. Kok, Walter A. Kosters: Detecting and Pruning Introns for Faster Decision Tree Evolution. PPSN 2004: 1071-1080

Jeroen Eggermont, Joost N. Kok, Walter A. Kosters: Genetic Programming for data classification: partitioning the search space. SAC 2004: 1001-1005

Walter A. Kosters, Wim Pijls: Apriori, A Depth First Implementation. FIMI 2003

Walter A. Kosters, Wim Pijls, Viara Popova: Complexity Analysis of Depth First and FP-Growth Implementations of APRIORI. MLDM 2003: 284-292

Thomas Bäck, Jeannette M. de Graaf, Joost N. Kok, Walter A. Kosters: Theory of Genetic Algorithms. Current Trends in Theoretical Computer Science 2001: 546-578

Joost N. Kok, Walter A. Kosters: Natural Data Mining Techniques. Current Trends in Theoretical Computer Science 2001: 603-613

Michiel C. van Wezel, Walter A. Kosters, Peter van der Putten, Joost N. Kok: Nonmetric Multidimensional Scaling with Neural Networks. IDA 2001: 145-155

Jeannette M. de Graaf, Walter A. Kosters, Jeroen J. W. Witteman: Interesting Fuzzy Association Rules in Quantitative Databases. PKDD 2001: 140-151

Joost N. Kok, Walter A. Kosters: Natural Data Mining Techniques. Bulletin of the EATCS 71: 133-142 (2000)

Maurits D. Out, Walter A. Kosters: A Bayesian approach to combined neural networks forecasting. ESANN 2000: 323-328

Walter A. Kosters, Joost N. Kok, Patrik Floréen: Fourier Analysis of Genetic Algorithms. Theor. Comput. Sci. 229(1): 143-175 (1999)

Walter A. Kosters, Elena Marchiori, Ard A. J. Oerlemans: Mining Clusters with Association Rules. IDA 1999: 39-50

Michiel C. van Wezel, Walter A. Kosters, Joost N. Kok: Maximum Likelihood Weights for a Linear Ensemble of Regression Neural Networks. ICONIP 1998: 498-501

Michiel C. van Wezel, Joost N. Kok, Walter A. Kosters: Two neural network methods for multidimensional scaling. ESANN 1997

Jeannette M. de Graaf, Walter A. Kosters: Expected Heights in Heaps. BIT 32(4): 570-579 (1992)