Chi-Spark-RS: An Spark-built evolutionary fuzzy rule selection algorithm in imbalanced classification for big data problems

• Published in: 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) pp. 1 - 6
• Main Authors: Fernandez, Alberto, Almansa, Eva, Herrera, Francisco
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.07.2017
• Subjects: Algorithm design and analysis; Big Data; Classification algorithms; Programming; Proposals; Sparks; Training

The significance and benefits of addressing classification tasks in Big Data applications is beyond any doubt. To do so, learning algorithms must be scalable to cope with such a high volume of data. The most suitable option to reach this objective is by using a MapReduce programming scheme, in which...