Author of the publication

Segmentation-Based Methods for Top-k Discords Detection in Static and Streaming Time Series Under Euclidean Distance.

, , and . ICCASA, volume 409 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 147-163. Springer, (2021)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

A new discord definition and an efficient time series discord detection method using GPUs., , and . ICSED, page 63-70. ACM, (2021)Incremental Clustering for Time Series Data Based on an Improved Leader Algorithm., , and . RIVF, page 1-6. IEEE, (2019)Segmentation-Based Methods for Top-k Discords Detection in Static and Streaming Time Series Under Euclidean Distance., , and . ICCASA, volume 409 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 147-163. Springer, (2021)Efficient segmentation-based methods for anomaly detection in static and streaming time series under dynamic time warping., , and . J. Intell. Inf. Syst., 56 (1): 121-146 (2021)A Novel Method for Time Series Anomaly Detection based on Segmentation and Clustering., , and . KSE, page 276-281. IEEE, (2018)Some Efficient Segmentation-Based Techniques to Improve Time Series Discord Discovery., , and . ICTCC, volume 168 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 179-188. Springer, (2016)Anomaly repair-based approach to improve time series forecasting., , and . Intell. Data Anal., 26 (2): 277-294 (2022)