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These data, identified as Big Data in the literature, are characterized by the popular<jats:italic>V<\/jats:italic>s features, such as Value, Veracity, Variety, Velocity and Volume. In particular, Value focuses on the useful knowledge that may be mined from data. Thus, in the last years, a number of data mining and machine learning algorithms have been proposed to extract knowledge from Big Data. These algorithms have been generally implemented by using ad-hoc programming paradigms, such as MapReduce, on specific distributed computing frameworks, such as Apache Hadoop and Apache Spark. In the context of Big Data, fuzzy models are currently playing a significant role, thanks to their capability of handling vague and imprecise data and their innate characteristic to be interpretable. In this work, we give an overview of the most recent distributed learning algorithms for generating fuzzy classification models for Big Data. In particular, we first show some design and implementation details of these learning algorithms. Thereafter, we compare them in terms of accuracy and interpretability. Finally, we argue about their scalability.<\/jats:p>","DOI":"10.1186\/s40537-020-00298-6","type":"journal-article","created":{"date-parts":[[2020,3,10]],"date-time":"2020-03-10T09:03:33Z","timestamp":1583831013000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["An overview of recent distributed algorithms for learning fuzzy models in Big Data classification"],"prefix":"10.1186","volume":"7","author":[{"given":"Pietro","family":"Ducange","sequence":"first","affiliation":[]},{"given":"Michela","family":"Fazzolari","sequence":"additional","affiliation":[]},{"given":"Francesco","family":"Marcelloni","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,3,10]]},"reference":[{"key":"298_CR1","volume-title":"Big data: a revolution that will transform how we live, work, and think","author":"S John Walker","year":"2014","unstructured":"John Walker S. 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