z-logo
open-access-imgOpen Access
SAND: Semi-Supervised Adaptive Novel Class Detection and Classification over Data Stream
Author(s) -
Ahsanul Haque,
Latifur Khan,
Michael Baron
Publication year - 2016
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v30i1.10283
Subject(s) - forgetting , computer science , classifier (uml) , sliding window protocol , artificial intelligence , data stream mining , data stream , outlier , concept drift , machine learning , data mining , benchmark (surveying) , anomaly detection , pattern recognition (psychology) , window (computing) , telecommunications , philosophy , linguistics , geodesy , geography , operating system

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom