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See what links here for where this template is used. Please add categories and interwiki links to the documentation subpage. The above documentation is transcluded from Template:Disclaimer header/doc .
Spatial data mining is the application of data mining methods to spatial data. The end objective of spatial data mining is to find patterns in data with respect to geography. So far, data mining and Geographic Information Systems (GIS) have existed as two separate technologies, each with its own methods, traditions, and approaches to ...
The use of Clinical Data Repositories could provide a wealth of knowledge about patients, their medical conditions, and their outcome. The database could serve as a way to study the relationship and potential patterns between disease progression and management. The term "Medical Data Mining" has been coined for this method of research.
In collaboration with the university and regional library in Münster, all gathered files are archived and allocated to every German library, securing a sustainable use of this meta-data-repository. The medical-data-portal is known as German (RIsources) and European research infrastructure (MERIL) and is developed by the Institute of Medical ...
[9] [10] Text mining researchers frequently combine these corpora with the controlled vocabularies and ontologies available through the National Library of Medicine's Unified Medical Language System (UMLS) and Medical Subject Headings (MeSH). Machine learning-based methods often require very large data sets as training data to build useful ...
Oracle Data Mining (ODM) is an option of Oracle Database Enterprise Edition. It contains several data mining and data analysis algorithms for classification, prediction, regression, associations, feature selection, anomaly detection, feature extraction, and specialized analytics.