An adaptive algorithm for anomaly and novelty detection in evolving data streams
Crossref DOI link: https://doi.org/10.1007/s10618-018-0571-0
Published Online: 2018-05-12
Published Print: 2018-11
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Bouguelia, Mohamed-Rafik http://orcid.org/0000-0002-2859-6155
Nowaczyk, Slawomir
Payberah, Amir H.
Funding for this research was provided by:
Halmstad University
Text and Data Mining valid from 2018-05-12
Article History
Received: 19 May 2017
Accepted: 2 May 2018
First Online: 12 May 2018