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View article: A Distributed Fuzzy Associative Classifier for Big Data
A Distributed Fuzzy Associative Classifier for Big Data Open
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…
View article: A distributed approach to multi-objective evolutionary generation of fuzzy rule-based classifiers from big data
A distributed approach to multi-objective evolutionary generation of fuzzy rule-based classifiers from big data Open
View article: On Distributed Fuzzy Decision Trees for Big Data
On Distributed Fuzzy Decision Trees for Big Data Open
Fuzzy decision trees (FDTs) have shown to be an effective solution in the framework of fuzzy classification. The approaches proposed so far to FDT learning, however, have generally neglected time and space requirements. In this paper, we p…
View article: A MapReduce solution for associative classification of big data
A MapReduce solution for associative classification of big data Open
View article: On the influence of feature selection in fuzzy rule-based regression model generation
On the influence of feature selection in fuzzy rule-based regression model generation Open
View article: A new approach to fuzzy random forest generation
A new approach to fuzzy random forest generation Open
Random forests have proved to be very effective classifiers, which can achieve very high accuracies. Although a number of papers have discussed the use of fuzzy sets for coping with uncertain data in decision tree learning, fuzzy random fo…
View article: A MapReduce-based fuzzy associative classifier for big data
A MapReduce-based fuzzy associative classifier for big data Open
In this paper, we propose an efficient distributed fuzzy associative classification model based on the MapReduce paradigm. The learning algorithm first mines a set of fuzzy association classification rules by employing a distributed versio…