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Knowledge Mining: the Quantitative Synthesis and Visualization of Research Results and Findings Chris Asakiewicz Phd.
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Knowledge Mining: the Quantitative Synthesis and Visualization of Research Results and Findings
Chris Asakiewicz Phd.
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.
| メディア | 書籍 Paperback Book (ソフトカバーで背表紙を接着した本) |
| リリース済み | 2008年11月20日 |
| ISBN13 | 9783639101379 |
| 出版社 | VDM Verlag Dr. Müller |
| ページ数 | 124 |
| 寸法 | 150 × 7 × 225 mm · 176 g |
| 言語 | 英語 |