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Fuzzy clustering-based prediction of marine sensor data

Version 2 2025-01-15, 01:13
Version 1 2023-05-23, 12:00
conference contribution
posted on 2025-01-15, 01:13 authored by Aidan O'Mara, S Shahriar
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.

History

Publication title

Proceedings of the 10th International Conference on Fuzzy Systems and Knowledge Discovery

Volume

3918

Editors

J Chen, X Wang, L Wang, J Sun, X Meng

Pagination

364-368

ISBN

978-1-4673-5253-6

Department/School

Information and Communication Technology, Medicine

Publisher

Curran Associates

Publication status

  • Published

Place of publication

Red Hook, New York, United States

Event title

10th International Conference on Fuzzy Systems and Knowledge Discovery

Event Venue

Shenyang, China

Date of Event (Start Date)

2013-07-23

Date of Event (End Date)

2013-07-25

Rights statement

Copyright 2013 IEEE

Socio-economic Objectives

229999 Other information and communication services not elsewhere classified

UN Sustainable Development Goals

14 Life Below Water

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    University Of Tasmania

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