Knowledge Discovery in time series usually requires symbolic time series. Many discretization methods that convert numeric time series to symbolic time series ignore the temporal ...
Abstract. In this paper, we investigate two novel indexing schemes called DHS and D-HS+PSR(II) designed for use in case-based reasoning systems. D-HS is based on a matrix of cases ...
New technology in knowledge discovery and data mining (KDD) make it possible to extract valuable information from operational data. Private businesses already use the technology f...
Hye-Chung (Monica) Kum, Dean Duncan, Kimberly Flai...
Understanding which ontology characteristics can predict a “good” quality ontology, is a core and ongoing task in the Semantic Web. In this paper, we provide our findings on wh...
This paper describes our experiences of applying dynamic analysis solutions on an industrial legacy application written in C, with the help of Aspect Orientation (AO). We use a nu...
Andy Zaidman, Serge Demeyer, Bram Adams, Kris De S...