This paper discusses a mathematical concept of language that models both artificial and natural languages and thus provides a framework for a unified language processing methodolo...
Companies providing cloud-scale services have an increasing need to store and analyze massive data sets such as search logs and click streams. For cost and performance reasons, pr...
Solution of large sparse linear fixed-point problems lies at the heart of many important performance analysis calculations. These calculations include steady-state, transient and...
Analysts have marked Event Processing as the most growing segment in enterprise computing during years 2008 and 2009, furthermore, this trend is expected to continue. Many of the ...
Background: One of the most commonly performed tasks when analysing high throughput gene expression data is to use clustering methods to classify the data into groups. There are a...
T. Ian Simpson, J. Douglas Armstrong, Andrew P. Ja...