Skip to main content
Have a personal or library account? Click to login
Anomaly Pattern Detection in Streaming Data Based on the Transformation to Multiple Binary-Valued Data Streams Cover

Anomaly Pattern Detection in Streaming Data Based on the Transformation to Multiple Binary-Valued Data Streams

Journal of Artificial Intelligence and Soft Computing Research
Volume 12 (2022): Issue 1 (January 2022)
By: Taegong Kim and  Cheong Hee Park  
Open Access
|Oct 2021
Authors

Authors

Taegong Kim

Department of Computer Science and Engineering, Chungnam National University

Cheong Hee Park

cheonghee@cnu.ac.kr

Department of Computer Science and Engineering, Chungnam National University
DOI: https://doi.org/10.2478/jaiscr-2022-0002
Journal RSS Feed
Language: English
Page range: 19 - 27
Submitted on: Jul 10, 2020
Accepted on: Oct 6, 2020
Published on: Oct 8, 2021
Published by: SAN University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
anomaly pattern detection,
multiple binary-valued streams,
outlier detection,
outlier score
Related subjects:
Computer sciences,
Artificial intelligence,
Databases and data mining

© 2021 Taegong Kim, Cheong Hee Park, published by SAN University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 12 (2022): Issue 1 (January 2022)
Previous article
Next article