Benchmarking relief-based feature selection methods for bioinformatics data mining
نویسندگان
چکیده
منابع مشابه
Benchmarking Relief-Based Feature Selection Methods
Modern data mining requires feature selection methods that can (1) be applied to large scale feature spaces, (2) function in noisy problems, (3) detect complex patterns of association (e.g. interactions), (4) be flexibly adapted to various problem domains and data types, and (5) are computationally tractable. To that end, this work examines a set of filter-style feature selection algorithms ins...
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ژورنال
عنوان ژورنال: Journal of Biomedical Informatics
سال: 2018
ISSN: 1532-0464
DOI: 10.1016/j.jbi.2018.07.015