Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Yonca Yazirli"'
Autor:
Betul Kan Kilinc, Yonca Yazirli
Publikováno v:
Pakistan Journal of Statistics and Operation Research. :217-224
One of the essential problems in data mining is the removal of negligible variables from the data set. This paper proposes a hybrid approach that uses rough set theory based algorithms to reduct the attribute selected from the data set and utilize re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b04b70a0a7b6eb5e1973365491625bab
https://doi.org/10.18187/pjsor.v16i2.3069
https://doi.org/10.18187/pjsor.v16i2.3069
Autor:
Betul Kan Kilinc, Yonca Yazirli
Publikováno v:
Turkiye Klinikleri Journal of Biostatistics. 10:215-223
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4eb090d1ae45c0fc3b99baafcbfe7cef
https://doi.org/10.5336/biostatic.2018-63264
https://doi.org/10.5336/biostatic.2018-63264
Autor:
Yonca Yazirli, Betül Kan-Kilinç
There are various data mining techniques to handle with huge amount of data sets. Rough set based classification provides an opportunity in the efficiency of algorithms when dealing with larger datasets. The selection of eligible attributes by using
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::759886823da32c2a40f799648bb8cbf1
