کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8941774 1645027 2018 38 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
CHI-BD: A fuzzy rule-based classification system for Big Data classification problems
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
CHI-BD: A fuzzy rule-based classification system for Big Data classification problems
چکیده انگلیسی
The previous Fuzzy Rule-Based Classification Systems (FRBCSs) for Big Data problems consist in concurrently learning multiple Chi et al. FRBCSs whose rule bases are then aggregated. The problem of this approach is that different models are obtained when varying the configuration of the cluster, becoming less accurate as more computing nodes are added. Our aim with this work is to design a new FRBCS for Big Data classification problems (CHI-BD) which is able to provide exactly the same model as the one that would be obtained by the original Chi et al. algorithm if it could be executed with this quantity of data. In order to do so, we take advantage of the suitability of the Chi et al. algorithm for the MapReduce paradigm, solving the problems of the previous approach, which lead us to obtain the same model (i.e., classification accuracy) regardless of the number of computing nodes considered.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Fuzzy Sets and Systems - Volume 348, 1 October 2018, Pages 75-101
نویسندگان
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