TY - GEN
T1 - Fuzzy ARTMAP Network and Clustering for Streaming Classification under Emerging New Classes
AU - Xu, Yiyang
AU - Li, Yan
AU - Li, Yunjie
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/12
Y1 - 2019/12
N2 - Streaming classification with emerging new classes is a challenging problem receiving extensive attention. To date, most approaches simply detect novel classes without further recognizing them, and ignore conceptual drift and conceptual evolution problem. Therefore, in this paper, we propose an effective semi-supervised framework that combines ARTMAP neural network and clustering method to detect and identify simultaneously multiple known and unknown classes in data streams and update the network online. Experiments have been conducted on four benchmark datasets with different data forms including MNIST, CIFAR10, network attack analysis, and geospatial information of forests. The empirical evaluation shows effectiveness of the proposed approach, whose results are much better than many previous studies.
AB - Streaming classification with emerging new classes is a challenging problem receiving extensive attention. To date, most approaches simply detect novel classes without further recognizing them, and ignore conceptual drift and conceptual evolution problem. Therefore, in this paper, we propose an effective semi-supervised framework that combines ARTMAP neural network and clustering method to detect and identify simultaneously multiple known and unknown classes in data streams and update the network online. Experiments have been conducted on four benchmark datasets with different data forms including MNIST, CIFAR10, network attack analysis, and geospatial information of forests. The empirical evaluation shows effectiveness of the proposed approach, whose results are much better than many previous studies.
KW - ARTMAP
KW - SENC
KW - clustering
KW - model update
UR - http://www.scopus.com/inward/record.url?scp=85091933608&partnerID=8YFLogxK
U2 - 10.1109/ICSIDP47821.2019.9173002
DO - 10.1109/ICSIDP47821.2019.9173002
M3 - Conference contribution
AN - SCOPUS:85091933608
T3 - ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019
BT - ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019
Y2 - 11 December 2019 through 13 December 2019
ER -