Vreeken, J., Leeuwen, M. van & Siebes, A.P.J.M. (2010). Krimp: Mining Itemsets that Compress. Data Mining and Knowledge Discovery.
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Puspitaningrum, D. & Siebes, A.P.J.M. (2010). Patterns on Queries. In Inductive Databases and Constraint-Based Data Mining. Springer.
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Adams, N.M., Robardet, C., Siebes, A.P.J.M. & Boulicaut, J.F. (2009). Advances in Intelligent Data Analysis VIII. In IDA Vol. 5772. Lecture Notes in Computer Science. Springer.
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Koopman, A.C.M. & Siebes, A.P.J.M. (2009). Characteristic relational patterns. In J.F. Elder, F. Fogelman-Soulié, P.A. Flach & M.J. Zaki (Eds.), Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 437-446).
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Koopman, A.C.M. & Siebes, A.P.J.M. (2009). Characteristic relational patterns. In KDD (pp. 437-446).
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Leeuwen, M. van, Bonchi, F., Sigurbjörnsson, B. & Siebes, A.P.J.M. (2009). Compressing Tags to Find Interesting Media Groups. In D.W.-L. Cheung, Y.-L. Song, W.W. Chu, X. Hu & J.J. Lin (Eds.), CIKM'09: Proceedings of the 18th ACM Conference on Information and Knowledge Management (pp. 1147-1156). ACM.
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Leeuwen, M. van, Bonchi, F., Sigurbjörnsson, B. & Siebes, A.P.J.M. (2009). Compressing tags to find interesting media groups. In D.W.-L. Cheung, I.-Y. Song, W.W. Chu, X. Hu & J.J. Lin (Eds.), Proceedings of the 18th ACM Conference on Information and Knowledge Management (pp. 1147-1156).
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Leeuwen, M. van, Vreeken, J. & Siebes, A.P.J.M. (2009). Identifying the Components. Data Mining and Knowledge Discovery, 19(2), 176-193.
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Leeuwen, M. van, Vreeken, J. & Siebes, A.P.J.M. (2009). Identifying the components. Data Mining and Knowledge Discovery, 19(2), 176-193.
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Heikinheimo, H., Vreeken, J., Siebes, A.P.J.M. & Mannila, H. (2009). Low-Entropy Set Selection. In Proceedings of the SIAM International Conference on Data Mining, SDM 2009 (pp. 569-580).
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Siebes, A.P.J.M. & Puspitaningrum, D. (2009). Mining Databases to Mine Queries Faster. In W.L. Buntine, M. Grobelnik, D. Mladenic & J. Shawe-Taylor (Eds.), Machine Learning and Knowledge Discovery in Databases Vol. 5782. Lecture Notes in Computer Science (pp. 382-397). Springer.
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Koopman, A.C.M. & Siebes, A.P.J.M. (2008). Discovering Relational Items Sets Efficiently. In SDM (pp. 108-119). SIAM.
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Vreeken, J. & Siebes, A.P.J.M. (2008). Filling in the Blanks - Krimp Minimisation for Missing Data. In F. Gianotti, D. Gunopoulos, F. Turini, C. Zaniolo, N. Ramakrishnan & Xindong Wu (Eds.), Proceedings of the IEEE International Conference on Data Mining (pp. 1067-1072). IEEE.
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Vreeken, J. & Siebes, A.P.J.M. (2008). Krimp Minimisation for Missing Data Estimation. (UU-CS2008-034 ). onbekend: UU WINFI Informatica en Informatiekunde.
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Jong, E.D. de, Franke, L. & Siebes, A.P.J.M. (2008). On the Measurement of Genetic Interactions. In Proceedings of the 3rd international symposium on Computational Life Science.
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Leeuwen, M. van & Siebes, A.P.J.M. (2008). StreamKrimp: Detecting Change in Data Streams. In Machine Learning and Knowledge Discovery in Databases Vol. 5211. Lecture Notes in Computer Science (pp. 672-687). Berlin/ Heidelberg: Springer Berlin/ Heidelberg.
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Vreeken, J., Leeuwen, M. van & Siebes, A.P.J.M. (2007). Characterising the Difference. In P. Berkin, R. Caruana, X. Wu & S. Gaffney (Eds.), ACM SIGKDD Conference on Knowledge Discovery and Data Mining (pp. 765-774). ACM.
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Vreeken, J., Leeuwen, M. van & Siebes, A.P.J.M. (2007). Characterising the Difference. (UU-CS2007-014 ). onbekend: UU WINFI Informatica en Informatiekunde.
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Vreeken, J., Leeuwen, M. van & Siebes, A.P.J.M. (2007). Preserving Privacy through Data Generation. In N. Ramakrishnan, O. Za�e, Y. Shi, C.W. Clifton & X. Wu (Eds.), Proceedings of the IEEE International Conference on Data Mining (pp. 685-690). IEEE.
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Vreeken, J., Leeuwen, M. van & Siebes, A.P.J.M. (2007). Privacy Preservation through Data Generation. (UU-CS2007-020 ). onbekend: UU WINFI Informatica en Informatiekunde.
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Jong, E.D. de, Franke, L.H. & Siebes, A.P.J.M. (2006). A comparison of gene interaction measures.
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Malik, R., Franke, L.H. & Siebes, A.P.J.M. (2006). Combination of text-mining algorithms increases the performance. Bioinformatics, 22(17), 2151-2157.
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Leeuwen, M. van, Vreeken, J. & Siebes, A.P.J.M. (2006). Compression Picks Item Sets That Matter. In J. Furnkranz, T. Scheffer & M. Spiliopoulou (Eds.), Knowledge Discovery in Databases: PKDD (pp. 585-592). Springer.
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Leeuwen, M. van, Vreeken, J. & Siebes, A.P.J.M. (2006). Compression Picks the Significant Item Sets. onbekend: UU WINFI Informatica en Informatiekunde.
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Jong, E.D. de & Siebes, A.P.J.M. (2006). Evaluation of a Gene Network Extraction Method on Synthetic Data.
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Bathoorn, R.W., Koopman, A.C.M. & Siebes, A.P.J.M. (2006). Frequent Patterns that Compress. onbekend: UU WINFI Informatica en Informatiekunde.
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Siebes, A.P.J.M., Vreeken, J. & Leeuwen, M. van (2006). Item Sets that Compress. In J. Ghosh, D. Lambert, J. Srivastava & D.B. Skillicorn (Eds.), SIAM Conference on Data Mining (pp. 393-404). SIAM.
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Bathoorn, R.W., Koopman, A.C.M. & Siebes, A.P.J.M. (2006). Reducing the Frequent Pattern Set. In S. Tsumoto, C.W. Clifton, N. Zhong, X. Wu, J. Liu, B.W. Wah & Y.-M. Cheung (Eds.), ICDM '06: Proceedings of the 6th International Conference on Data Mining - Workshops (pp. 55-59). Los Alamitos, CA, USA: IEEE Computer Society.
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Famili, A.F., Kok, J.N., Peña, A.S., Siebes, A.P.J.M. & Feelders, A.J. (Eds.). (2005). Advances in Intelligent Data Analysis VI, 6th International Symposium on Intelligent Data Analysis, IDA 2005 (Lecture Notes in Computer Science, 3646). Berlin: Springer-Verlag.
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Malik, R. & Siebes, A.P.J.M. (2005). CONAN: An Integrative System for Biomedical Literature Mining. In C. Bento, A. Cardoso & G. Dias (Eds.), Progress in Artificial Intelligence, 12th Portuguese Conference on Artificial Intelligence, EPIA 2005 (pp. 248-259). Berlin: Springer-Verlag.
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Siebes, A.P.J.M., Subianto, M. & Feelders, A.J. (2005). Instability of Classifiers on Categorical Data. In J. Han, B.W. Wah, V. Raghavan, X. Wu & R. Rastogi (Eds.), Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005) (pp. 769-772). IEEE Computer Society.
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Goethals, B. & Siebes, A.P.J.M. (Eds.). (2005). KDID 2004, Knowledge Discovery in Inductive Databases, Proceedings of the Third International Workshop on Knowledge Discovery in Inductive Databases, Revised Selected and Invited Papers (Lecture Notes in Computer Science, 3377). Berlin: Springer-Verlag.
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Morik, K., Boulicaut, J.F. & Siebes, A.P.J.M. (Eds.). (2005). Local Pattern Detection, International Seminar, Revised Selected Papers (Lecture Notes in Computer Science, 3539). Berlin: Springer-Verlag.
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Castelo, R. & Siebes, A.P.J.M. (2004). A characterization of moral transitive acyclic directed graph Markov models as trees. Journal of statistical planning and inference, 115, 235-259.
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Bathoorn, R.W. & Siebes, A.P.J.M. (2004). Constructing (Almost) Phylogenetic Trees from Developmental Sequences Data. In J.-F. Boulicaut, F. Esposito, F. Giannotti & D. Pedreschi (Eds.), Proceedings of the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD) (pp. 500-502). Springer-Verlag.
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Siebes, A.P.J.M. (2004). Data submission of 3D image sets to a bio-molecular database using active shape models and a reference model for projection. In F.J. Verbeek, D.D. Rodrigues, H.P. Spaink & A. Siebes (Eds.), Proceedings Electronic Imaging, Internet Imaging V (pp. 13-23).
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Egmont-Petersen, M., Jonge, W. de & Siebes, A.P.J.M. (2004). Discovery of regulatory connections in microarray data. In J.-F. Boulicaut, F. Esposito, F. Giannotti & D. Pedreschi (Eds.), Proceedings of the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD) 2004 (pp. 149-160).
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Siebes, A.P.J.M. (2002). Association Rules. In J. Meij (Ed.), Dealing with the data flood (pp. 646-649). Den Haag, the Netherlands: STT/Beweton.
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Siebes, A.P.J.M. & Struzik, Z.R. (2002). Complex data: mining using patterns. In D.J. Hand, N. Adams & R.J. Bolton (Eds.), Pattern Detection and Discovery, proceedings of the ESF exploratory workshop (pp. 24-35). Berlin, Heidelberg, New York: Springer-Verlag.
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Siebes, A.P.J.M. (2002). Data Surveyor. In W. Kloesgen & J.M. Zytkow (Eds.), Handbook of data Mining nd Knowledge Discovery (pp. 572-575). Oxford: Oxford University Press.
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Siebes, A.P.J.M. (2002). From Discovered Knowledge to Decision Making. In W. Kloesgen & J.M. Zytkow (Eds.), Handbook of Data Mining and Knowledge Discovery (pp. 524-528). Oxford: Oxford University Press.
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Knobbe, A.J., Siebes, A.P.J.M. & Marseille, B. (2002). Involving aggregate functions in multi-relational search. In T. Elomaa, H. Mannila & H. Toivonen (Eds.), Principles of Data Mining and Knowledge Discovery, proceedings of PKDD2002 (pp. 287-298). Berlin, Heidelberg, New York: Springer-Verlag.
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Siebes, A.P.J.M. (2002). Lid Program Committee. Conferentie: ICDM 2002.
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Siebes, A.P.J.M. (2002). Lid Program Committee. Conferentie: SIAM Datamining 2003.
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Siebes, A.P.J.M. (2002). Lid Program Committee. Conferentie: PKDD 2002.
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Siebes, A.P.J.M. (2002). Lid Program Committee. Conferentie: PGM02.
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Siebes, A.P.J.M. (2002). Lid program Committee. Conferentie; ECML 2002.
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Someren, M. van, Siebes, A.P.J.M., Verdenius, F. & Meij, J. (2002). Methodology. In J. Meij (Ed.), Dealing with the data flood (pp. 540-551). Den Haag, the Netherlands: STT/Beweton.
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Siebes, A.P.J.M. (2002). Naive Bayes. In J. Meij (Ed.), Dealing with the data flood (pp. 666-690). Den Haag, the Netherlands: STT/Beweton.
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Siebes, A.P.J.M. (Ed.). (2002). Intelligent data analysis : an international journal, 5.
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Siebes, A.P.J.M. (Ed.). (2002). Journal of Data Mining and Knowledge Discovery, 6.
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Struzik, Z.R. & Siebes, A.P.J.M. (2002). Wavelet transform based multifractal formalism in outlier detection and localisation for financial time-series. Physica. A, theoretical and statistical physics, 309, 388-402.
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Siebes, A.P.J.M. (2001). Co-Chair. Conferentie: PKDD 2001.
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Siebes, A.P.J.M. (2001). Lid Program Committee. Conferentie: VLDB 2001.
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Siebes, A.P.J.M. (2001). Lid Program Committee. Conferentie: SIAM Datamining 2002.
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Siebes, A.P.J.M. (2001). Lid Program Committee. Conferentie: PAKDD 2002.
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Siebes, A.P.J.M. (2001). Lid Program Committee. Conferentie: ICDM 2001.
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Siebes, A.P.J.M. (2001). Lid Program Committee. Conferentie: PKDD 2001.
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Siebes, A.P.J.M. (2001). Lid Program Committee. Conferentie: ECML 2001.
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Castelo Valdueza, R., Feelders, A.J. & Siebes, A.P.J.M. (2001). Mambo: Discovering Association Rules Based on Conditional Independencies. In F. Hoffmann, D.J. Hand, N. Adams, D. Fisher & G. Guimaraes (Eds.), Advances in Intelligent Data Analysis (pp. 289-298). Berlin, Heidelberg, New York: Springer Verlag.
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Siebes, A.P.J.M. & Feelders, A.J. (2001). OFFER: Making the right offer at customer contact. In V. Hoste & G. de Pauw (Eds.), Proceedings of the eleventh Belgian-Dutch Conference on Machine Learning (pp. 55-60). Antwerpen, Belgium.
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Raedt, L. de & Siebes, A.P.J.M. (2001). Principles of Data Mining and Knowledge Discovery. Berlin, Heidelberg, New York: Springer Verlag.
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Knobbe, A.J., Haas, M. de & Siebes, A.P.J.M. (2001). Propositionalisation and Aggregates. In L. de Raedt & A. Siebes (Eds.), Principles of Data Mining and Knowledge Discovery (pp. 277-288). Berlin, Heidelberg, New York: Springer Verlag.
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Siebes, A.P.J.M. (Ed.). (2001). Intelligent data analysis : an international journal, 4.
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Siebes, A.P.J.M. (Ed.). (2001). Journal of Data Mining and Knowledge Discovery, 5.
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Valdueza, R. Castelo & Siebes, A.P.J.M. (2000). A characterization of moral transitive directed acyclic graph Markov models as trees and its properties. (UU-CS2000-44 ). Utrecht, The Netherlands: Utrecht University: Information and Computing Sciences.
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