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In this paper the first known case is presented in which an antepartum diagnosis of placenta membranacea was made by ultrasound. A multiparous woman is presented with intermittent painless vaginal bleeding in the second trimester of pregnancy. Ultrasonic examination at 20 weeks' gestation revealed a gestational sac almost completely covered with placental(More)
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)
Maximum quantum yield for leaf CO2 assimilation under limiting light conditions (Φ CO2LL) is commonly estimated as the slope of the linear regression of net photosynthetic rate against absorbed irradiance over a range of low-irradiance conditions. Methodological errors associated with this estimation have often been attributed either to light absorptance by(More)
Customer churn, i.e., losing a customer to the competition, is a major problem in mobile telecommunications. This paper investigates the added value of combining regular tabu-lar data mining with social network mining, leveraging the graph formed by communications between customers. We extend classical tabular churn datasets with predictors derived from(More)
This paper introduces a real time automatic scene classifier within content-based video retrieval. In our envisioned approach end users like documentalists, not image processing experts, build classifiers interactively, by simply indicating positive examples of a scene. Classification consists of a two stage procedure. First, small image fragments called(More)
In direct marketing large amounts of customer data are collected that might have some complex, non linear relation to customer behavior. Data mining techniques can ooer insight in these relations. In this paper we give a basic introduction in the application of data mining to direct marketing. Best practices for data selection, algorithm selection and(More)
This ongoing research addresses the use of page ranking for computing relatedness coefficients between pairs of nodes in a directed graph, based on their edge structure. A novel, hybrid algorithm is proposed for a complete assessment of nodes and their connecting edges, which is then applied to a practical application, namely a recommender system for books,(More)