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
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;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2013 10th International Conference on
Conference_Location :
Shenyang
DOI :
10.1109/FSKD.2013.6816223
