Universiteit Leiden

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Peter van der Putten

Docent

Naam
Dr. P.W.H. van der Putten
Telefoon
+31 71 527 5778
E-mail
p.w.h.van.der.putten@liacs.leidenuniv.nl

How can machines learn from interaction? Or how can phenomena such as intelligence, creativity or more in general, complex behaviour emerge from simple parts? Big questions of course, but nonetheless fascinating. I enjoy studying these questions as a researcher in the Data Mining Group as well as in the Media Technology program at the Leiden Institute of Advanced Computer Science at Leiden University in the Netherlands. Next to that I apply these methods in industry, most recently as the Director of Decisioning Solutions at Pegasystems, and I also have experience with start-ups, both as an employee and as an informal advisor.

Meer informatie over Peter van der Putten

Peter van der Putten is a part time researcher at LIACS. His background is in artificial intelligence and he is particularly interested how intelligence can evolve through learning, in man or machines. Peter has a MSc in Cognitive Artificial Intelligence from Utrecht University and a PhD in data mining from Leiden University, and combines academic research with applying these technologies in business.  He teaches  New Media New Technology ( 20112012201320142015) and supervises MSc thesis projects.

Peter holds office in room 123 of the Snellius building. He works part-time for the Media Technology MSc program, so schedule an appointment if you want to meet.

Member of:

Docent

  • Wiskunde en Natuurwetenschappen
  • Leiden Inst Advanced Computer Sciences

Werkadres

Snellius
Niels Bohrweg 1
2333 CA Leiden
Kamernummer 123

Contact

Onderzoeker / gast

  • Wiskunde en Natuurwetenschappen
  • Leiden Inst Advanced Computer Sciences

Werkadres

Snellius
Niels Bohrweg 1
2333 CA Leiden
Kamernummer 123

Contact

Universitair docent

  • Wiskunde en Natuurwetenschappen
  • Leiden Inst Advanced Computer Sciences

Werkadres

Snellius
Niels Bohrweg 1
2333 CA Leiden
Kamernummer 123

Contact

  • Soekhoe D., Putten, P. van der & Plaat A. (2016), On the Impact of Data Size in Transfer Learning Using Deep Neural networks. In: Boström H., Knobbe A., Soares C., Papapetrou P. (red.) Advances in Intelligent Data Analysis XV: 15th International Symposium, IDA 2016, Stockholm, Sweden, October 13-15, 2016, Proceedings. nr. 9897 Cham: Springer International Publishing. 50-60.congresbijdrage (refereed)
  • Soekhoe D., Putten P. van der & Plaat A. (2016), On the Impact of Data Set Size in Transfer Learning Using Deep Neural Networks. In: Boström H., Knobbe A., Soares C., Papapetrou P. (red.) Advances in Intelligent Data Analysis XV - 15th International Symposium, IDA 2016, Stockholm, Sweden, October 13-15, 2016, Proceedings. nr. 9897 Cham: Springer International Publishers. 50-60.congresbijdrage (refereed)
  • Post M.J., Putten P.W.H. van der. & Rijn J.N. van (2016), Does Feature Selection Improve Classification? A Large Scale Experiment in OpenML. In: Boström H., Knobbe A., Soares C., Papapetrou P. (red.) Advances in Intelligent Data Analysis XV: 15th International Symposium, IDA 2016, Stockholm, Sweden, October 13-15, 2016, Proceedings (Lecture Notes in Computer Science). nr. 9897 Cham: Springer International Publishing. 158-170.congresbijdrage (refereed)
  • Post M.J., Putten P.W.H. van der. & Rijn J.N. van (2016), Does Feature Selection Improve Classification? A Large Scale Experiment in OpenML. In: Boström H., Knobbe A., Soares C., Papapetrou P. (red.) Advances in Intelligent Data Analysis XV: 15th International Symposium, IDA 2016, Stockholm, Sweden, October 13-15, 2016, Proceedings (Lecture Notes in Computer Science). nr. 9897 Cham: Springer International Publishing. 158-170.congresbijdrage (refereed)
  • Lamers M.H., Putten P.W.H. van der & Verbeek F.J. (2014), Observations on Tinkering in Scientific Education. In: Cheok A.D., Nijholt A., Romão T. (Red.) Entertaining the Whole World Human-Computer Interaction Series. London: Springer-Verlag. 137-145.boekdeel
  • Mohd Hafeez Bin Osman H., Chaudron M.R.V. & Putten P.W.H. van der (2014), Condensing Reverse Engineered Class Diagram using Text Mining nr. TR 2014-02. Leiden, The Netherlands: LIACS, Leiden University.rapport
  • Mohd Hafeez Bin Osman H., Chaudron M.R.V. & Putten P.W.H. van der (2014), Interactive Scalable Abstraction of Reverse Engineered UML Class Diagrams. In: Proceedings 21st Asia-Pacific Software Engineering Conference (APSEC 2014).congresbijdrage (refereed)
  • Mohd Hafeez Bin Osman H., Chaudron M.R.V., Putten P.W.H. van der & Ho-Quang Truong (2014), Condensing Reverse Engineered Class Diagrams through Class Name Based Abstraction. In: Proceedings 2014 World Congress on Information and Communication Technologies (WICT).congresbijdrage (refereed)
  • Radosavljevikj D. & Putten P.W.H. van der (2014), Large Scale Predictive Modeling for Micro-Simulation of 3G Air Interface Load. In: Proceedings 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD2014). 1620-1629.congresbijdrage (refereed)
  • Li H., Putten P.W.H. van der & Keijzer M. (2014), Improving Preference Based Modeling By Capturing Correlations Among Features [Abstract]. In: Proceedings 23rd Annual Belgian Dutch Conference on Machine Learning (BENELEARN 2014). 6.congresbijdrage (refereed)
  • Mohd Hafeez Bin Osman H., Chaudron M. R.V. & Putten P.W.H. van der (2013), An Analysis of Machine Learning Algorithms for Condensing Reverse Engineered Class Diagrams. In: 29th IEEE International Conference on Software Maintenance (ICSM), 2013: IEEE. 140-149.congresbijdrage (refereed)
  • Kusuma, P.D. Radosavljevic D., Takes F.W. & van der Putten P.W.H. (2013), Combining Customer Attributes and Social Network Mining for Prepaid Mobile Churn Prediction. In: Proceedings of the 22th Belgian Dutch Conference on Machine Learning (Benelearn). 50-58.congresbijdrage (refereed)
  • Lamers M.H., Verbeek F.J. & Putten P.W.H. van der (2013), Tinkering in Scientific Education. In: Reidsma D., Katayose H., Nijholt A. (Red.) Advances in Computer Entertainment nr. Lecture Notes in Computer Science 8253: Springer-Verlag. 568-571.congresbijdrage (refereed)
  • Radosavljevik D. & Putten P.W.H. van der (2013), Preventing Churn in Telecommunications: The Forgotten Network. In: Proceedings Advances in Intelligent Data Analysis XII - 12th International Symposium, IDA 2013 nr. Lecture Notes in Computer Science. 357-368.congresbijdrage (refereed)
  • Li H., Putten P.W.H. van der & Keijzer M. (2013), Recommending Products using Preference Based Modeling. In: Proceedings 23rd Annual Belgian Dutch Conference on Machine Learning (Benelearn 2013). 59-67.congresbijdrage (refereed)
  • Heijer G.J. Den, Putten P.W.H. van der, Benard E.L., Meijer Annemarie & Verbeek F.J. (2012), Explorations in Texture Based Classification for Bacterial Infection in Zebrafish. In: Proceedings BENELEARN 2012. 13-18.congresbijdrage (refereed)
  • Osman Hafeez, Chaudron M.R.V. & Putten P.W.H. van der (2012), Classifying Presence of Classes in UML Design using Software Metrics.. In: Proceedings BENELEARN 2012. 76-76.congresbijdrage (refereed)
  • Radosavljevik D., Putten P.W.H. van der & Kyllesbech Larsen K. (2012), Mass Scale Modeling and Simulation of the Air-Interface Load in 3G Radio Access Networks. In: Proceedings The Eleventh International Symposium on Intelligent Data Analysis (IDA 2012). 25-27.congresbijdrage (refereed)
  • Kentsch A., Kosters W.A., Putten P.W.H. van der & Takes F.W. (2011), Exploratory Recommendations using Wikipedia's Linking Structure. In: Proceedings of 20th Belgian Netherlands Conference on Machine Learning (Benelearn). 61-68.congresbijdrage (refereed)
  • Putten P.W.H. van der, Veenman C., Vanschoren J., Israel M. & Blockeel H. (Red.) (2011), Proceedings of the 20th Annual Belgian-Dutch Conference on Machine Learning (BENELEARN 2011). The Hague: Universiteit Leiden.boekredactie
  • Radosavljevik D., Putten P.W.H. van der & Kyllesbech Larsen K. (2011), Customer Satisfaction and Network Experience in Mobile Telecommunications. In: Proceedings 20th Annual Belgian-Dutch Conference on Machine Learning (BENELEARN 2011). 91-92.congresbijdrage (refereed)
  • Putten P.W.H. van der, Kok J.N. & Meng L.J. (2011), Profiling Novel Classification Algorithms: Artificial Immune Systems. In: Proceedings Seventh IEEE International Conference on Cybernetic Intelligent Systems 2008 (CIS 2008).congresbijdrage (refereed)
  • Radosavljevik D., Putten P.W.H. van der & Kyllesbech Larsen K. (2010), The Impact of Experimental Setup on Prepaid Churn Modeling: Data, Population and Outcome Definition. In: Workshop on Data Mining in Marketing (DMM 2010).congresbijdrage (refereed)
  • Israel M., Schaar J. van der, Broek E.L. van den, Uyl M. den & Putten P.W.H. van der (2010), Multi-Level Visual Alphabets. In: Proceedings International Conference on Image Processing Theory, Tools and Applications (IPTA 2010).congresbijdrage (refereed)
  • Putten P.W.H. van der (19 januari 2010), On data Mining in Context: Cases, Fusion and Evaluation (Dissertatie). Promotor(en) en Copromotor(en):Kok J.N.dissertatie
  • Radosavljevik D., Putten P.W.H. van der & Kyllesbech Larsen K. (2010), The Impact of Experimental Setup in Prepaid Churn Prediction for Mobile Telecommunications: What to Predict, from Whom and does the Customer Experience Matter?, Transactions on Machine Learning and Data Mining 3(2): 80-99.artikel in tijdschrift (refereed)
  • Putten P.W.H. van der & Kok J.N. (2010), Using Data Fusion to Enrich Customer Databases with Survey Data for Database Marketing. In: Jorge Casillas, Francisco Jose Martinez Lopez (Red.) Marketing Intelligent Systems Using Soft Computing.boekdeel
  • Putten P.W.H. van der (2010), Data Fusion for Direct Marketing. In: Joint Meeting GfKl - CLADAG 2010.congresbijdrage (refereed)
  • Putten P.W.H. van der, Melli G. & Kitts B. (2009), Proceedings of the Third International Workshop on Data Mining Case Studies (DMCS 2009).. New Jersey: ACM SIGKDD.boek
  • Putten P.W.H. van der, Bertens L.M.F., Liu J., Hagen F, Boekhout T. & Verbeek F.J. (2007), Classification of Yeast Cells from Image Features to Evaluate Pathogen Conditions. In: Hanjalic, A., Schettini, R., Sebe, N. (Red.) SPIE Vol. 6506. 650601-14.congresbijdrage (refereed)
  • Paauwe P., Putten P.W.H. van der & Wezel M.C. van (2007), DMTC: An Actionable e-Customer Lifetime Value Model Based on Markov Chains and Decision Trees. In: Proceedings of the Ninth International Conference on Electronic Commerce: The Wireless World of Electronic Commerce 2007 ACM International Conference Proceedings Series.congresbijdrage (refereed)
  • Putten P.W.H. van der, Koudijs A.E. & Walker R. (2006), A Decision Management Approach to Basel II Compliant Credit Risk Management. In: KDD-2006 Workshop Data Mining for Business Applications.congresbijdrage (refereed)
  • Israel M., Broek E.L. van den, Putten P.W.H. van der & Uyl M. den (2006), Visual Alphabets: Video Classification by End Users. In: V.A. Petrushin and L. Khan (Red.) Multimedia Data Mining and Knowledge Discovery: Springer.boekdeel
  • Liu J., Putten P.W.H. van der, Hagen F, Chen X., Boekhout T. & Verbeek F.J. (2006), Detecting virulent cells of Cryptococcus neoformans yeast: clustering experiments. In: International Conference on Pattern Recognition (ICPR) IEEE Computer Society. 1112-1115.congresbijdrage (refereed)
  • Meng L.J., Putten P.W.H. van der & Wang H. (2005), A Comprehensive Benchmark of the Artificial Immune Recognition System (AIRS). In: Li X., Wang S., Yang Dong Z. (Red.) Proceedings of the First International Conference on Advanced Data Mining and Applications (ADMA 2005). 575-582.congresbijdrage (refereed)
  • Putten P.W.H. van der & Meng L.J. (2005), Benchmarking the AIRS Artificial Immune System for Classification. In: Verbeeck K., Tuyls K., Nowé A., Manderick B., Kuijpers B. (Red.) Proceedings of the 17th Belgian-Dutch Conference on Artificial Inteligence (BNAIC 2005). 393-394.congresbijdrage (refereed)
  • Putten P.W.H. van der & Kok J.N. (2005), Data mining and knowledge discovery. In: Baatenburg de Jong R.J. (Red.) Prognosis in Head and Neck Cancer: Taylor and Francis.boekdeel
  • Putten P.W.H. van der, Kok J.N. & Gupta G. (2002), Why the Information Explosion Can Be Bad for Data Mining and How Data Fusion Provides a Way Out. In: Second SIAM International Conference on Data Mining.congresbijdrage (refereed)
  • Putten P.W.H. van der, Ramaekers M., Uyl M. den & Kok J.N. (2002), A Process Model for a Data Fusion Factory. In: Proc. 14th Belgian-Dutch Conference on Artificial Intelligence. 251-258.congresbijdrage (refereed)
  • Putten P.W.H. van der (2002), Advertising Strategy Discovery. In: Meij, J. (Red.) Dealing with the Data Flood: Mining Data, Text and Multimedia. The Hague: STT Netherlands. 247-261.boekdeel
  • Putten P.W.H. van der (2002), Analytical Customer Relationship Management for Insurance Policy Prospects. In: Meij, J. (Red.) Dealing with the Data Flood: Mining Data, Text and Multimedia. The Hague: STT Netherlands. 293-297.boekdeel
  • Putten P.W.H. van der (2002), Matching. In: Meij, J. (Red.) Dealing with the Data Flood: Mining Data, Text and Multimedia. The Hague: STT. 308-319.boekdeel
  • Putten P.W.H. van der & Wurff A. van der (1998), De invoering van database marketing systemen. In: Hoogers J. (Red.) CustomerBase Jaarboek '99. Amersfoort: F&G Publishing. 119-128.boekdeel
  • Pegasystems Director Decisioning Solutions