This paper deals with the task of large vocabulary proper name recognition. In order to accomodate a wide diversity of possible name pronunciations (due to non-native name origins...
Data mining has emerged to address the problem of transforming data into useful knowledge. Although most data mining techniques, such as Association Rules, substantially reduce th...
We present a new family of linear time algorithms based on sufficient statistics for string comparison with mismatches under the string kernels framework. Our algorithms improve t...
In this paper we introduce MuiCSer, a conceptual process framework for Multi-disciplinary User-centred Software Engineering (UCSE) processes. UCSE processes strive for the combinat...
Mieke Haesen, Karin Coninx, Jan Van den Bergh, Kri...
In recent years, privacy preserving data mining has become very important because of the proliferation of large amounts of data on the internet. Many data sets are inherently high...