Rare category detection is an open challenge for active learning, especially in the de-novo case (no labeled examples), but of significant practical importance for data mining - ...
: Temporal data mining is concerned with the analysis of temporal data and finding temporal patterns, regularities, trends, clusters in sets of temporal data. Wavelet transform pro...
When knowledge systems are deployed into a real-world application, then the maintenance and the refinement of the knowledge are essential tasks. Many existing automatic knowledge ...
In this paper, we present a new algorithm for clustering data in large datasets using image processing approaches. First the dataset is mapped into a binary image plane. The synthe...
In this paper, we discuss the benefits of context prediction for an industrial application in open cast mining. The goal of context prediction is not only to recognize the current...