Parallel selective sampling method for imbalanced and large data classification
نویسندگان
چکیده
منابع مشابه
Parallel selective sampling method for imbalanced and large data classification
Several applications aim to identify rare events from very large data sets. Classification algorithms may present great limitations on large data sets and show a performance degradation due to class imbalance. Many solutions have been presented in literature to deal with the problem of huge amount of data or imbalancing separately. In this paper we assessed the performances of a novel method, P...
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ژورنال
عنوان ژورنال: Pattern Recognition Letters
سال: 2015
ISSN: 0167-8655
DOI: 10.1016/j.patrec.2015.05.008