Data mining is frequently obstructed by privacy concerns. In many cases data is distributed, and bringing the data together in one place for analysis is not possible due to privac...
In this paper we describe the application of data mining methods for predicting the evolution of patients in an intensive care unit. We discuss the importance of such methods for ...
In this paper we present a novel method for the combined hybrid visualization of the cerebral blood vessels, segmented from a 3D rotational angiography dataset, and datasets conta...
Daniel Ruijters, Drazenko Babic, Bart M. ter Haar ...
Data mining for intrusion detection can be divided into several sub-topics, among which unsupervised clustering has controversial properties. Unsupervised clustering for intrusion...
In spite of the great progress in the data mining field in recent years, the problem of missing and uncertain data has remained a great challenge for data mining algorithms. Many ...