Rough set methods in feature selection via submodular function
Sign Up to like & getrecommendations! Published in 2017 at "Soft Computing"
DOI: 10.1007/s00500-015-2024-7
Abstract: Attribute reduction is an important problem in data mining and machine learning in that it can highlight favorable features and decrease the risk of over-fitting to improve the learning performance. With this regard, rough sets… read more here.
Keywords: reduction; learning performance; function; reduct ... See more keywords
Prediction of cancer using customised fuzzy rough machine learning approaches
Sign Up to like & getrecommendations! Published in 2019 at "Healthcare Technology Letters"
DOI: 10.1049/htl.2018.5055
Abstract: This Letter proposes a customised approach for attribute selection applied to the fuzzy rough quick reduct algorithm. The unbalanced data is balanced using synthetic minority oversampling technique. The huge dimensionality of the cancer data is… read more here.
Keywords: fuzzy rough; using customised; customised fuzzy; cancer ... See more keywords
An Ensemble Framework to Forest Optimization Based Reduct Searching
Sign Up to like & getrecommendations! Published in 2022 at "Symmetry"
DOI: 10.3390/sym14061277
Abstract: Essentially, the solution to an attribute reduction problem can be viewed as a reduct searching process. Currently, among various searching strategies, meta-heuristic searching has received extensive attention. As a new emerging meta-heuristic approach, the forest… read more here.
Keywords: ensemble framework; reduct searching; reduct; framework ... See more keywords