Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Fateme Moslehi"'
Publikováno v:
International Journal of Aquatic Biology, Vol 4, Iss 1, Pp 11-16 (2016)
An eight-week experiment was carried out to determine the effects of dietary Pediococcus pentosaceus as probiotic on the body composition and gut microbiota of Siberian sturgeon, Acipenser baerii. A total of 180 fish with mean body weight of 143±0.0
Externí odkaz:
https://doaj.org/article/43f51ee11ba84ac3a2abe6dad60723c7
Publikováno v:
Neural Computing and Applications. 34:21139-21155
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e6a9eb4fb94224dad89f18609490862
https://doi.org/10.1007/s00521-022-07595-6
https://doi.org/10.1007/s00521-022-07595-6
Publikováno v:
Pattern Analysis and Applications. 24:1387-1402
The K-means algorithm is a popular clustering method, which is sensitive to the initialization of samples and selecting the number of clusters. Its performance on high-dimensional datasets is considerably influenced. Principal component analysis (PCA
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f8ee324f63f39c905794443dcd6efc6
https://doi.org/10.1007/s10044-021-00977-x
https://doi.org/10.1007/s10044-021-00977-x
Autor:
Fateme Moslehi, Abdorrahman Haeri
Publikováno v:
Journal of Statistical Computation and Simulation. 91:581-604
Clustering is one of the main methods of data mining. K-means algorithm is one of the most common clustering algorithms due to its efficiency and ease of use. In many data mining issues, the datase...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1791c6b80ff34d486c92780130d6ecbf
https://doi.org/10.1080/00949655.2020.1822358
https://doi.org/10.1080/00949655.2020.1822358
Autor:
Fateme Moslehi, Abdorrahman Haeri
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 11:3757-3769
Feature selection plays an important role in the classification process to decrease the computational time, which can reduce the dimensionality of a dataset and improve the accuracy and efficiency of a machine learning task. Feature selection is a pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca651554fc52949710f8563e95c782d7
https://doi.org/10.1007/s12652-019-01570-1
https://doi.org/10.1007/s12652-019-01570-1
Publikováno v:
Soft Computing. 24:4645-4666
Discovering association rules is a useful and common technique for data mining in which dependencies among datasets are shown. Discovering the rules from continuous numeric datasets is one of the common challenges in data mining. Furthermore, another
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b8607e3294b1f80b6c08d5097a0aa2a
https://doi.org/10.1007/s00500-019-04226-6
https://doi.org/10.1007/s00500-019-04226-6
Autor:
Fateme Moslehi, Abdorrahman Haeri
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 11:1105-1127
The classification is one of the main technique of machine learning science. In many problems, the data sets have a high dimensionality that the existence of all features is not important to the purpose of the problem, and this will decrease the accu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c85761b4c3e7171333c137fe8aa60c94
https://doi.org/10.1007/s12652-019-01364-5
https://doi.org/10.1007/s12652-019-01364-5
Publikováno v:
Scientia Iranica.
Clustering is one of the main methods of data mining. K-means algorithm is one of the most common clustering algorithms due to its efficiency and ease of use. One of the challenges of clustering is to identify the appropriate label for each cluster.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a469b09be37269fad1e06f1503e0d98c
https://doi.org/10.24200/sci.2019.51110.2010
https://doi.org/10.24200/sci.2019.51110.2010