Using Machine Learning Algorithms to Explore Listeners Musical Tastes

Author:

Walczyński MaciejORCID,Kisz Monika

Publisher

Springer Nature Switzerland

Reference10 articles.

1. Chapman, P., et al.: CRISP-DM 1.0 step-by-step data mining guide. Technical report, The CRISP-DM consortium (2000). https://maestria-datamining-2010.googlecode.com/svn-history/r282/trunk/dmct-teorica/tp1/CRISPWP-0800.pdf

2. Dowling, W.J.: The perception of interleaved melodies. Cogn. Psychol. 5(3), 322–337 (1973)

3. Fabbri, R., Junior, V.V.D.S., Pessotti, A.C.S., Corrêa, D.C., Oliveira, O.N.: Musical elements in the discrete-time representation of sound (2014). https://doi.org/10.48550/ARXIV.1412.6853. https://arxiv.org/abs/1412.6853

4. IBM: Application Programming Interface (API). https://www.ibm.com/cloud/learn/api. Accessed 7 Dec 2021

5. Moore, B.C.: An Introduction to the Psychology of Hearing. Brill, Leiden (2012)

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