Incremental fuzzy learning algorithms in big data problems: A study on the size of learning subsets
Rocío Romero‐Zaliz, Antonio González, Raúl Pérez · 2017
Incremental approaches may be used to speed up the learning process when a classification algorithm is dealing with Big Data bases. In this work we present a study on how the size and composition of the set of learning examples that are given to an incremental algorithm affect its behaviour.