{bio,medical} informatics
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Knowledge discovery systems (and knowledge discovery components of larger systems) are constructed to automate the analysis of large volumes of structured or semi-structured data. They contain data mining algorithms that apply heuristics to generate rules that can then be passed to either a user for further investigation or directly to a system to modify the system's behaviour. However, the results from data mining routines, whilst constrained, are dependent on the knowledge found within the data and thus the nature of the rules and the behaviour of the system cannot be entirely predicted a priori. Moreover, the semantics of the rules discovered are critically dependent on the model of the data being mined. Nevertheless, the development of reliable, robust and responsive systems that employ data mining components is important as the potential benefits of employing knowledge discovery are large. It is important, therefore, that there be a solid conceptual foundation in terms of data, rule and process modelling. "
"In this workshop, we aim to create a forum for both researchers and practitioners in the areas of knowledge discovery and knowledge management systems for the discussion of various open issues, research topics, techniques, practices and lessons learned from industry for reducing this gap. In this respect we are less interested in data mining algorithms themselves, than in their application to real-world projects and their integration within existing systems."
[ rhetoric ]
“Bioinformatics will be at the core of biology in the 21st century. In fields ranging from structural biology to genomics to biomedical imaging, ready access to data and analytical tools are fundamentally changing the way investigators in the life sciences conduct research and approach problems. Complex, computationally intensive biological problems are now being addressed and promise to significantly advance our understanding of biology and medicine. No biological discipline will be unaffected by these technological breakthroughs.”
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