Identifying Similarities Between Musical Files Using Association Rules

Author:

Rompré Louis,Biskri Ismaïl,Meunier Jean-Guy

Publisher

Springer International Publishing

Reference19 articles.

1. Agrawal, R., Imielinski T., Swami, A.: Minning association rules between sets of items in large databases, In: Proceedings of the SIGMOD, pp. 207–216 (1993)

2. Agrawal, R., Srikant, R.: Fast algorithms for mining association rules. In: Proceedings of the 20th International Conference on Very Large Database, pp. 487–499 (1994)

3. Ali, M.A., Siddiqui, Z.A.: Automatic music genres classification using machine learning. Int. J. Adv. Comput. Sci. Appl. 8, 337–344 (2017)

4. Arjannikov, T., Zhang, J.Z.: An association-based approach to genre classification in music. In: ISMIR, pp. 95–100 (2014)

5. Chang, K., Jang, J.-S.R., Iliopoulos, C.S.: Music genre classification via compressive sampling. In: Proceedings of the International Society Music Information Retrieval, pp. 387–392 (2010)

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