TY - GEN
T1 - One-class support vector machine for data streams
AU - Bhat, Srinidhi
AU - Singh, Sanjay
N1 - Publisher Copyright:
© 2020 IEEE.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/11/16
Y1 - 2020/11/16
N2 - In various information systems, application learning algorithms have to act in a dynamic environment where the acquired data is in data streams. In contrast to static data mining, processing streams introduce an array of computational and algorithmic stipulations. With the continuous input of data in data streams, one would like a mechanism that automatically identifies unusual events in the time series. The topic has been in the limelight as it has huge potential for real-time activities. To show the algorithm's robustness, we have trained the classifier to multiple activities and its success in identifying each activity. The paper explores the possibility of using the One-Class Support Vector Machine (OCSVM) for novelty detection in data streams.
AB - In various information systems, application learning algorithms have to act in a dynamic environment where the acquired data is in data streams. In contrast to static data mining, processing streams introduce an array of computational and algorithmic stipulations. With the continuous input of data in data streams, one would like a mechanism that automatically identifies unusual events in the time series. The topic has been in the limelight as it has huge potential for real-time activities. To show the algorithm's robustness, we have trained the classifier to multiple activities and its success in identifying each activity. The paper explores the possibility of using the One-Class Support Vector Machine (OCSVM) for novelty detection in data streams.
UR - http://www.scopus.com/inward/record.url?scp=85098940593&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85098940593&partnerID=8YFLogxK
U2 - 10.1109/TENCON50793.2020.9293814
DO - 10.1109/TENCON50793.2020.9293814
M3 - Conference contribution
AN - SCOPUS:85098940593
T3 - IEEE Region 10 Annual International Conference, Proceedings/TENCON
SP - 1130
EP - 1135
BT - 2020 IEEE Region 10 Conference, TENCON 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE Region 10 Conference, TENCON 2020
Y2 - 16 November 2020 through 19 November 2020
ER -