Forecasting Cryptocurrency Value by Sentiment Analysis: An HPC-Oriented Survey of the State-of-the-Art in the Cloud Era-Reference-Cited by-同舟云学术

Forecasting Cryptocurrency Value by Sentiment Analysis: An HPC-Oriented Survey of the State-of-the-Art in the Cloud Era

Published:2019 Issue: Volume: Page:325-349
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Zamuda Aleš^ORCID,Crescimanna Vincenzo^ORCID,Burguillo Juan C.^ORCID,Matos Dias Joana^ORCID,Wegrzyn-Wolska Katarzyna^ORCID,Rached Imen^ORCID,González-Vélez Horacio^ORCID,Senkerik Roman^ORCID,Pop Claudia^ORCID,Cioara Tudor^ORCID,Salomie Ioan^ORCID,Bracciali Andrea^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-16272-6_12

Reference149 articles.

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3. Anagnostopoulos, K.P., Mamanis, G.: The mean-variance cardinality constrained portfolio optimization problem: an experimental evaluation of five multiobjective evolutionary algorithms. Expert Syst. Appl. 38(11), 14208–14217 (2011)

4. Aouni, B., Doumpos, M., Pérez-Gladish, B., Steuer, R.E.: On the increasing importance of multiple criteria decision aid methods for portfolio selection. J. Oper. Res. Soc. 69, 1525–1542 (2018)

5. Aranha, C., Iba, H.: Modelling cost into a genetic algorithm-based portfolio optimization system by seeding and objective sharing. In: 2007 IEEE Congress on Evolutionary Computation, pp. 196–203. IEEE, Singapore (2007)

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