One possible threat to linked data quality is the lack of knowledge about the dynamics in dependent remote datasets. Linked data consuming applications often need to be aware of ch...
Niko Popitsch, Bernhard Haslhofer, Elaheh Momeni R...
In data mining, the selection of an appropriate classifier to estimate the value of an unknown attribute for a new instance has an essential impact to the quality of the classifica...
We present the notion of Ranking for evaluation of two-class classifiers. Ranking is based on using the ordering information contained in the output of a scoring model, rather tha...
This paper presents a novel traffic classification approach which classifies TCP connections with help of observable Markov models. As traffic properties, payload length, direction...
Knowing which edges in an image denote shadow edges and which are due to object boundaries or changes in surface reflectance has important applications in both computer vision and...