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pro vyhledávání: '"Taopin Mu"'
Publikováno v:
Entropy, Vol 21, Iss 7, p 657 (2019)
Rough set theory is an important approach for data mining, and it refers to Shannon’s information measures for uncertainty measurements. The existing local conditional-entropies have both the second-order feature and application limitation. By impr
Externí odkaz:
https://doaj.org/article/f6e3e45433194ea5ad7dcfac6728ad15
Publikováno v:
Entropy
Entropy, Vol 21, Iss 7, p 657 (2019)
Volume 21
Issue 7
Entropy, Vol 21, Iss 7, p 657 (2019)
Volume 21
Issue 7
Rough set theory is an important approach for data mining, and it refers to Shannon&rsquo
s information measures for uncertainty measurements. The existing local conditional-entropies have both the second-order feature and application limitation
s information measures for uncertainty measurements. The existing local conditional-entropies have both the second-order feature and application limitation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09bedb179537889916a78cef662adc0d
https://doi.org/10.3390/e21070657
https://doi.org/10.3390/e21070657