American Psychological Association 6th edition

Silva, N., Soares, J., Shah, V., Santos, M. Y., & Rodrigues, H. (2017). Anomaly Detection in Roads with a Data Mining Approach. Procedia Computer Science, 121, 415-422. https://doi.org/10.1016/j.procs.2017.11.056

ISO-690 (author-date, English)

SILVA, Nuno, SOARES, João, SHAH, Vaibhav, SANTOS, Maribel Yasmina und RODRIGUES, Helena, 2017. Anomaly Detection in Roads with a Data Mining Approach. Procedia Computer Science. 1 Januar 2017. Vol. 121, , p. 415-422. DOI 10.1016/j.procs.2017.11.056.

Modern Language Association 9th edition

Silva, N., J. Soares, V. Shah, M. Y. Santos, und H. Rodrigues. „Anomaly Detection in Roads With a Data Mining Approach“. Procedia Computer Science, Bd. 121, Januar 2017, S. 415-22, https://doi.org/10.1016/j.procs.2017.11.056.

Mohr Siebeck - Recht (Deutsch - Österreich)

Silva, Nuno/Soares, João/Shah, Vaibhav/Santos, Maribel Yasmina/Rodrigues, Helena: Anomaly Detection in Roads with a Data Mining Approach, Procedia Computer Science 2017, 415-422.

Emerald - Harvard

Silva, N., Soares, J., Shah, V., Santos, M.Y. und Rodrigues, H. (2017), „Anomaly Detection in Roads with a Data Mining Approach“, Procedia Computer Science, Vol. 121, S. 415-422.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.