eCite Digital Repository

Fuzzy clustering-based prediction of marine sensor data


O'Mara, A and Shahriar, S, Fuzzy clustering-based prediction of marine sensor data, Proceedings of the 10th International Conference on Fuzzy Systems and Knowledge Discovery, 23-25 July 2013, Shenyang, China, pp. 364-368. ISBN 978-1-4673-5253-6 (2013) [Refereed Conference Paper]

Copyright Statement

Copyright 2013 IEEE

Official URL:

DOI: doi:10.1109/FSKD.2013.6816223


We investigate an approach of predicting marine sensor data in short-term using fuzzy clustering. The proposed method uses the similar pattern sequences with their weights using fuzzy clustering for prediction. Experimental results show that the proposed method helps in improving the accuracy in prediction over some existing approaches.

Item Details

Item Type:Refereed Conference Paper
Keywords:fuzzy clustering, prediction, sensor data
Research Division:Information and Computing Sciences
Research Group:Machine learning
Research Field:Neural networks
Objective Division:Information and Communication Services
Objective Group:Other information and communication services
Objective Field:Other information and communication services not elsewhere classified
UTAS Author:O'Mara, A (Mr Aidan O'Mara)
UTAS Author:Shahriar, S (Dr Sumon Shahriar)
ID Code:116684
Year Published:2013
Deposited By:Information and Communication Technology
Deposited On:2017-05-16
Last Modified:2018-02-01

Repository Staff Only: item control page