Distributed ReliefF-based feature selection in Spark
نویسندگان
چکیده
منابع مشابه
ReliefF-based Multi-label Feature Selection
In recent years, multi-label learning has been used to deal with data attributed to multiple labels simultaneously and has been increasingly applied to various applications. As many other machine learning tasks, multi-label learning also suffers from the curse of dimensionality; so extracting good features using multiple labels of the datasets becomes an important step prior to classification. ...
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ژورنال
عنوان ژورنال: Knowledge and Information Systems
سال: 2018
ISSN: 0219-1377,0219-3116
DOI: 10.1007/s10115-017-1145-y