Ontological modelling for machine inference has featured prominently in IT management research recently, but there is more immediate scope for knowledge modelling in the realm of h...
Centroid Classifier has been shown to be a simple and yet effective method for text categorization. However, it is often plagued with model misfit (or inductive bias) incurred by i...
In this work, we study similarity measures for text-centric XML documents based on an extended vector space model, which considers both document content and structure. Experimenta...
We investigate the performance of different classification models and their ability to recognize prostate cancer in an early state. We build ensembles of classification models in ...
The idea of representing knowledge in formal models gets more and more popular. Since these models are understandable and thus processable by machines, the retrieval of knowledge i...