Peter van der Putten

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The CoIL Challenge 2000 data mining competition attracted a wide variety of solutions, both in terms of approaches and performance. The goal of the competition was to predict who would be interested in buying a specific insurance product and to explain why people would buy. Unlike in most other competitions, the majority of participants provided a report(More)
Artificial Immune Systems are a new class of algorithms inspired by how the immune system recognizes, attacks and remembers intruders. This is a fascinating idea, but to be accepted for mainstream data mining applications, extensive benchmarking is needed to demonstrate the reliability and accuracy of these algorithms. In our research we focus on the AIRS(More)
Prepaid customers in mobile telecommunications are not bound by a contract and can therefore change operators ('churn') at their convenience and without notification. This makes the task of predicting prepaid churn both challenging and financially rewarding. This paper presents an explorative, real world study of prepaid churn modeling by varying the(More)
We describe a model for estimating the customer lifetime value (CLV) of customers in an e-commerce environment. The model is explained and experiments are performed on real-life data from a large Dutch Internet retailer. Our method results in CLV estimates that have similar accuracy to estimates generated by the commonly used model, while keeping the(More)
This paper outlines the approach developed together with the Radio Network Strategy & Design Department of a large telecom operator in order to forecast the Air-Interface load in their 3G network, which is used for planning network upgrades and budgeting purposes. It is based on large scale intelligent data analysis and modeling at the level of thousands of(More)
Astract — The yeast Cryptococcus neoformans can cause dangerous infections such as meningitis. The presence of a thick capsule is shown to be correlated with virulence of a yeast cell. This paper reports on our approach towards developing a classifier for detecting virulent cells in images. We present our methods for creating samples, collecting images,(More)