Lu, Yue, Wu, Renjie, Mueen, Abdullah, Zuluaga, Maria A., and Keogh, Eamonn. Matrix Profile XXIV: Scaling Time Series Anomaly Detection to Trillions of Datapoints and Ultra-fast Arriving Data Streams. Retrieved from https://par.nsf.gov/biblio/10462978. 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining . Web. doi:10.1145/3534678.3539271.

Lu, Yue, Wu, Renjie, Mueen, Abdullah, Zuluaga, Maria A., & Keogh, Eamonn. Matrix Profile XXIV: Scaling Time Series Anomaly Detection to Trillions of Datapoints and Ultra-fast Arriving Data Streams. 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, (). Retrieved from https://par.nsf.gov/biblio/10462978. https://doi.org/10.1145/3534678.3539271

Lu, Yue, Wu, Renjie, Mueen, Abdullah, Zuluaga, Maria A., and Keogh, Eamonn. "Matrix Profile XXIV: Scaling Time Series Anomaly Detection to Trillions of Datapoints and Ultra-fast Arriving Data Streams". 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (). Country unknown/Code not available. https://doi.org/10.1145/3534678.3539271. https://par.nsf.gov/biblio/10462978.

@article{osti_10462978,
place = {Country unknown/Code not available}, title = {Matrix Profile XXIV: Scaling Time Series Anomaly Detection to Trillions of Datapoints and Ultra-fast Arriving Data Streams}, url = {https://par.nsf.gov/biblio/10462978}, DOI = {10.1145/3534678.3539271}, abstractNote = {}, journal = {28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining}, author = {Lu, Yue and Wu, Renjie and Mueen, Abdullah and Zuluaga, Maria A. and Keogh, Eamonn}, }