Knowledge Mining

Knowledge Mining draws upon many of the key concepts §of knowledge management, data mining and knowledge §discovery, meta-analysis and data visualization. §Within the context of scientific research, knowledge §mining is principally concerned with the §quantitative synthesis and visualization of research §results and findings. §§The results of knowledge mining are increased §scientific understanding along with improvements in §research quality and value. Knowledge mining §products can be used to highlight research §opportunities, assist with the presentation §of "best" scientific evidence, facilitate research §portfolio management, as well as, facilitate policy §setting and decision making. §§Specifically discussed will be the application of §knowledge mining within the area of pharmaceutical §drug development and commercialization (e.g., the §visualization and synthesis of clinical research §findings surrounding a class of drugs and their §effectiveness in treating specific patient §subgroups). This ground breaking work should be of §special interest to life science professionals §working in the areas of knowledge management, data§mining, and §visualization.