Difference between revisions of "Category:Data Mining"
(Created page with "== Data Mining == AMIA defines [https://www.amia.org/programs/working-groups/knowledge-discovery-and-data-mining//data mining] as the automated computational and statistical ...") |
|||
| Line 1: | Line 1: | ||
== Data Mining == | == Data Mining == | ||
| − | AMIA defines [https://www.amia.org/programs/working-groups/knowledge-discovery-and-data-mining//data mining] as the automated computational and statistical tools and techniques on large databases used on the process of extracting meaningful patterns from biomedical data (knowledge discovery). Its underling goal is to help humans make high-level sense of large volumes of low-level data, and share that knowledge. It can involve methods for data preparation, cleaning, and selection, use of appropriate prior knowledge, development and application of data mining algorithms, and proper results analysis. It engages methods from such diverse areas as machine learning, pattern recognition, database science, statistics and analytics, artificial intelligence, knowledge acquisition for expert systems, data modeling and visualization, and high performance computing | + | AMIA defines [https://www.amia.org/programs/working-groups/knowledge-discovery-and-data-mining// data mining] as the automated computational and statistical tools and techniques on large databases used on the process of extracting meaningful patterns from biomedical data (knowledge discovery). Its underling goal is to help humans make high-level sense of large volumes of low-level data, and share that knowledge. It can involve methods for data preparation, cleaning, and selection, use of appropriate prior knowledge, development and application of data mining algorithms, and proper results analysis. It engages methods from such diverse areas as machine learning, pattern recognition, database science, statistics and analytics, artificial intelligence, knowledge acquisition for expert systems, data modeling and visualization, and high performance computing |
Latest revision as of 07:14, 12 November 2015
Data Mining
AMIA defines data mining as the automated computational and statistical tools and techniques on large databases used on the process of extracting meaningful patterns from biomedical data (knowledge discovery). Its underling goal is to help humans make high-level sense of large volumes of low-level data, and share that knowledge. It can involve methods for data preparation, cleaning, and selection, use of appropriate prior knowledge, development and application of data mining algorithms, and proper results analysis. It engages methods from such diverse areas as machine learning, pattern recognition, database science, statistics and analytics, artificial intelligence, knowledge acquisition for expert systems, data modeling and visualization, and high performance computing
Pages in category "Data Mining"
The following 2 pages are in this category, out of 2 total.
