Big data is the tar sands of the data world: vast reserves of raw gritty data whose valuable information content can only be extracted at great cost. MapReduce is a popular parall...
We explore how to support the creation of customized visualizations of ontology instance data through the specification of ontology mappings. We combine technologies from the dis...
Sean M. Falconer, R. Ian Bull, Lars Grammel, Marga...
With technological advancements data availability in power systems is drastically increased. Intelligent electronic devices are capable of communicating recorded data. Data can be...
This paper explores the use of the homotopy method for training a semi-supervised Hidden Markov Model (HMM) used for sequence labeling. We provide a novel polynomial-time algorith...
Abstract. The Self-Organising Map (SOM) is a well-known neuralnetwork model that has successfully been used as a data analysis tool in many different domains. The SOM provides a to...