American Psychological Association 6th edition

Moeenfar, K., Kiani, V., Soltani, A., & Ravanifard, R. (2025). A Fast and Accurate Tree-based Approach for Anomaly Detection in Streaming Data. Journal of Electrical & Computer Engineering Innovations (JECEI), 13(1), 209-224. https://doi.org/10.22061/jecei.2024.11110.767

ISO-690 (author-date, English)

MOEENFAR, K., KIANI, V., SOLTANI, A. und RAVANIFARD, R., 2025. A Fast and Accurate Tree-based Approach for Anomaly Detection in Streaming Data. Journal of Electrical & Computer Engineering Innovations (JECEI). 1 Januar 2025. Vol. 13, no. 1, p. 209-224. DOI 10.22061/jecei.2024.11110.767.

Modern Language Association 9th edition

Moeenfar, K., V. Kiani, A. Soltani, und R. Ravanifard. „A Fast and Accurate Tree-Based Approach for Anomaly Detection in Streaming Data.“. Journal of Electrical & Computer Engineering Innovations (JECEI), Bd. 13, Nr. 1, Januar 2025, S. 209-24, https://doi.org/10.22061/jecei.2024.11110.767.

Mohr Siebeck - Recht (Deutsch - Österreich)

Moeenfar, K./Kiani, V./Soltani, A./Ravanifard, R.: A Fast and Accurate Tree-based Approach for Anomaly Detection in Streaming Data., Journal of Electrical & Computer Engineering Innovations (JECEI) 2025, 209-224.

Emerald - Harvard

Moeenfar, K., Kiani, V., Soltani, A. und Ravanifard, R. (2025), „A Fast and Accurate Tree-based Approach for Anomaly Detection in Streaming Data.“, Journal of Electrical & Computer Engineering Innovations (JECEI), Vol. 13 No. 1, S. 209-224.

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