Identification of stock market manipulation using a hybrid ensemble approach
Anomaly detection in time series data is a complex data mining issue with many useful, real-world applications. Anomalies in datasets represent deviations in the expected behaviour of a system and can indicate rare but significant events that require intervention. Market manipulation is a serious is...
Guardat en:
Autors principals: | Quinn, Pearse, Toman, Marinus, Curran, Kevin |
---|---|
Format: | UMS Journal (OJS) |
Idioma: | eng |
Publicat: |
Universitas Muhammadiyah Surakarta
2023
|
Matèries: | |
Accés en línia: | https://journals2.ums.ac.id/index.php/arstech/article/view/2576 |
Etiquetes: |
Afegir etiqueta
Sense etiquetes, Sigues el primer a etiquetar aquest registre!
|
Ítems similars
-
CMOS FIFO memory products
per: CMOS ..
Publicat: (1992) -
Image-based disease detection and classification in Indian apple plant species by using deep learning
per: Wani, Sidrah Fayaz, et al.
Publicat: (2022) -
Panduan dari microsoft: mengelola memori dengan dos 5
per: GOOKIN, Dan
Publicat: (1993) -
Trauma and the memory of politics
per: EDKINS, Jenny
Publicat: (2003) -
Object Detection to Identify Shapes of Swallow Nests Using a Deep Learning Algorithm
per: Indrajaya, Denny, et al.
Publicat: (2022)