با سلام خدمت کاربران در صورتی که با خطای سیستم پرداخت بانکی مواجه شدید از طریق کارت به کارت (6037997535328901 بانک ملی ناصر خنجری ) مقاله خود را دریافت کنید (تا مشکل رفع گردد).
دسته بندی:
داده های بزرگ - big data
سال انتشار:
2018
عنوان انگلیسی مقاله:
A Distributed Fuzzy Associative Classifier for Big Data
ترجمه فارسی عنوان مقاله:
طبقه بندی کننده انجمنی توزیع شده فازی برای داده های بزرگ
منبع:
IEEE - IEEE TRANSACTIONS ON CYBERNETICS 2018
نویسنده:
Armando Segatori, Alessio Bechini, Pietro Ducange, and Francesco Marcelloni
چکیده انگلیسی:
Fuzzy associative classification has not been widely
analyzed in the literature, although associative classifiers (ACs)
have proved to be very effective in different real domain applications. The main reason is that learning fuzzy ACs is a very heavy
task, especially when dealing with large datasets. To overcome
this drawback, in this paper, we propose an efficient distributed
fuzzy associative classification approach based on the MapReduce
paradigm. The approach exploits a novel distributed discretizer
based on fuzzy entropy for efficiently generating fuzzy partitions
of the attributes. Then, a set of candidate fuzzy association rules
is generated by employing a distributed fuzzy extension of the
well-known FP-Growth algorithm. Finally, this set is pruned by
using three purposely adapted types of pruning. We implemented
our approach on the popular Hadoop framework. Hadoop allows
distributing storage and processing of very large data sets on
computer clusters built from commodity hardware. We have performed an extensive experimentation and a detailed analysis of
the results using six very large datasets with up to 11 000 000
instances. We have also experimented different types of reasoning
methods. Focusing on accuracy, model complexity, computation
time, and scalability, we compare the results achieved by our
approach with those obtained by two distributed nonfuzzy ACs
recently proposed in the literature. We highlight that, although
the accuracies result to be comparable, the complexity, evaluated
in terms of number of rules, of the classifiers generated by the
fuzzy distributed approach is lower than the one of the nonfuzzy
classifiers.
Index Terms: Associative classifier (AC), big data, fuzzy AC (FAC), fuzzy FP-Growth, Hadoop, MapReduce
قیمت: رایگان
توضیحات اضافی:
تعداد نظرات : 0