About: Wrapper (data mining)   Sponge Permalink

An Entity of Type : owl:Thing, within Data Space : 134.155.108.49:8890 associated with source dataset(s)

In data mining and treatment learning, wrappers are trainable modules that parse text looking for structure. They are often created by a programmer for specific tasks, or, in wrapper induction, can be programmed to train themselves. The idea is to wrap their treatments learners in a preprocessor that would search to make subsets from the current set of attributes. Using wrappers, the attribute subset would continue to grow until the accuracy of the model was no longer more accurate.

AttributesValues
rdfs:label
  • Wrapper (data mining)
rdfs:comment
  • In data mining and treatment learning, wrappers are trainable modules that parse text looking for structure. They are often created by a programmer for specific tasks, or, in wrapper induction, can be programmed to train themselves. The idea is to wrap their treatments learners in a preprocessor that would search to make subsets from the current set of attributes. Using wrappers, the attribute subset would continue to grow until the accuracy of the model was no longer more accurate.
sameAs
dcterms:subject
dbkwik:annex/prope...iPageUsesTemplate
Day
  • 31(xsd:integer)
Month
  • May
concern
  • notability - should be merged somewhere appropriately. Also orphan.
Time
  • 191.0
Timestamp
  • 20100531031107(xsd:double)
Year
  • 2010(xsd:integer)
abstract
  • In data mining and treatment learning, wrappers are trainable modules that parse text looking for structure. They are often created by a programmer for specific tasks, or, in wrapper induction, can be programmed to train themselves. The idea is to wrap their treatments learners in a preprocessor that would search to make subsets from the current set of attributes. Using wrappers, the attribute subset would continue to grow until the accuracy of the model was no longer more accurate. The TAR2 treatment learner used by Menzies and Hu did not use wrappers as it claimed their use made the treatment learning process too slow.
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