TAXONOMY

Nature Subjects Taxonomy

CONCEPT NAME

Data mining

DESCRIPTION

Data mining is the process of extracting potentially useful information from data sets. It uses a suite of methods to organise, examine and combine large data sets, including machine learning, visualisation methods and statistical analyses. Data mining is used in computational biology and bioinformatics to detect trends or patterns without knowledge of the meaning of the data.

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16 TRIPLES      13 PREDICATES      16 URIs      7 LITERALS

Subject Predicate Object
1 subjects:data-mining dcterms:modified 2017-10-09T07:39:43+00:00
2 sg:license http://scigraph.springernature.com/explorer/license/
3 rdf:type npg:Subject
4 sg:Subject
5 skos:Concept
6 rdfs:label Data mining
7 skos:altLabel Text Mining
8 skos:broader subjects:computational-biology-and-bioinformatics
9 skos:closeMatch dbpedia:Data_mining
10 mesh:D057225
11 skos:definition Data mining is the process of extracting potentially useful information from data sets. It uses a suite of methods to organise, examine and combine large data sets, including machine learning, visualisation methods and statistical analyses. Data mining is used in computational biology and bioinformatics to detect trends or patterns without knowledge of the meaning of the data.
12 skos:hiddenLabel data-mining
13 skos:historyNote [skos:definition - 2014.01.21] Use of sophisticated analysis tools to sort through, organize, examine, and combine large sets of information. Use of sophisticated tools to parse, organize, and examine textual information.
14 skos:inScheme subjects:
15 skos:notation data-mining
16 skos:prefLabel Data mining
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