Bio-inspired computation for big data fusion, storage, processing, learning and visualization: state of the art and future directions

Author:

Torre-Bastida Ana I.ORCID,Díaz-de-Arcaya Josu,Osaba Eneko,Muhammad Khan,Camacho David,Del Ser Javier

Funder

Eusko Jaurlaritza

Ministerio de Ciencia, Innovación y Universidades

Comunidad de Madrid

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference341 articles.

1. Beyer MA, Laney D (2012) The importance of ‘big data’: a definition. Stamford, CT: Gartner, pp 2014–2018

2. Ward JS, Barker A (2013) Undefined by data: a survey of big data definitions. arXiv preprint arXiv:1309.5821

3. Tidke B, Mehta R (2018) A comprehensive review and open challenges of stream big data. Soft computing: theories and applications. Springer, Berlin, pp 89–99

4. Memishi B, Ibrahim S, Pérez MS, Antoniu G (2016) Fault tolerance in Map-Reduce: A survey. Resource Management for Big Data Platforms. Springer, Berlin, pp 205–240

5. Del Ser J, Osaba E, Molina D, Yang X-S, Salcedo-Sanz S, Camacho D, Das S, Suganthan PN, Coello CAC, Herrera F (2019) Bio-inspired computation: Where we stand and what′s next. Swarm Evolut Comput 48:220–250

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