2008Medical Entomology and ZoologyRequires access

Knowledge Mining: The Quantitative Synthesis and Visualization of Research Results and Findings

Chris Asakiewicz

Open publisher page 5 citations

Abstract

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.

About this research paper

What this paper is about

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.

Why it matters

OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

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.

Key concepts: Visualization, Data science, Knowledge extraction, Computer science, Knowledge management, Context (archaeology), Commercialization, Data mining

Related papers

Back to paper searchBrowse research topicsOriginal source
Knowledge Mining: The Quantitative Synthesis and Visualization of Research Results and Findings — Research Paper | ScholarLens