DocumentCode
2110755
Title
Fuzzy clustering-based prediction of marine sensor data
Author
O´Mara, Aidan ; Shahriar, M.S.
Author_Institution
Sch. of Comput. & Inf. Syst., Univ. of Tasmania, Hobart, TAS, Australia
fYear
2013
fDate
23-25 July 2013
Firstpage
364
Lastpage
368
Abstract
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.
Keywords
forecasting theory; fuzzy set theory; marine engineering; pattern clustering; sensor fusion; fuzzy clustering-based prediction; marine sensor data prediction; similar pattern sequences; Clustering algorithms; Conductivity; Forecasting; Ocean temperature; Temperature distribution; Time series analysis; Water resources;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery (FSKD), 2013 10th International Conference on
Conference_Location
Shenyang
Type
conf
DOI
10.1109/FSKD.2013.6816223
Filename
6816223
Link To Document