The success of mass spectrometry-based proteomics in emerging applications such as biomarker discovery and clinical diagnostics, is predicated substantially on its ability to achie...
Thodoros Topaloglou, Moyez Dharsee, Rob M. Ewing, ...
We present a closed set data mining paradigm which is particularly e ective for uncovering the kind of deterministic, causal dependencies that characterize much of basic science. ...
Abstract. We present a system that improves on current documentcentric Web search engine technology; adopting an entity-centric perspective, we are able to integrate data from both...
The KDD process aims at the discovery and extraction of “useful” knowledge (such as interesting patterns, classification, rules etc) from large data repositories. A widely rec...
This paper introduces the Sunflower visual metaphor for information visualization. The visual metaphor is presented as an alternative to current techniques of dimensional compress...