Entropy-based clustering for anomaly detection from time-series data

Seif-Eddine Benkabou 1 Khalid Benabdeslem 1 Canitia Bruno
1 DM2L - Data Mining and Machine Learning
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Document type :
Conference papers
Complete list of metadatas

https://hal.archives-ouvertes.fr/hal-01340978
Contributor : Khalid Benabdeslem <>
Submitted on : Sunday, July 3, 2016 - 1:22:16 PM
Last modification on : Thursday, November 21, 2019 - 1:47:21 AM

Identifiers

  • HAL Id : hal-01340978, version 1

Citation

Seif-Eddine Benkabou, Khalid Benabdeslem, Canitia Bruno. Entropy-based clustering for anomaly detection from time-series data. ICML Workshop on Anomaly detection, 2016, New York, United States. ⟨hal-01340978⟩

Share

Metrics

Record views

385