Process of discovering patterns in large data sets using computational methods at the intersection of statistics, database systems, or machine learning.
Its enterprise platform combines business intelligence functionality with datadiscovery, mobile analytics and identity intelligence generated by digital credentials.
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Its analytics services and solutions include DataDiscovery Experience, Data Workload Optimization and Managed Business Intelligence Services.
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Meanwhile, datamining technology and databases are exploding in the private sector.
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In the context of a genome project, several stages involve datamining.
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The revelation that the NSA was involved in datamining isn't new.
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The ability to juxtapose annotations of many types facilitates inquiry-driven datamining.
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Host, immunological and viral predictors of RP were explored through datamining.
Uso de knowledge discovery em inglês
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How to design experiments that accelerate knowledgediscovery on complex biological landscapes remains a tantalizing question.
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Biological ontologies are frequently employed in these studies, which provides researchers with extensive opportunities for knowledgediscovery through computational data analysis.
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A first prototype of the decision support tool for knowledgediscovery and gene prioritization is available, but a more complete release is still under development.