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Ensemble feature ranking for shellfish farm closure cause identification

Version 2 2025-01-15, 01:13
Version 1 2023-05-23, 12:01
conference contribution
posted on 2025-01-15, 01:13 authored by A Rahman, CE D'Este, J McCulloch
Shellfish farms must be closed if there is suspected contamination during production to avoid serious health hazards. The authorities monitor a number of environmental and water quality variables through a set of sensors to check the health of shellfish farms and to decide on the closure of the farms. The research presented in this paper aims to develop an ensemble feature ranking algorithm to identify the cause of closure. We have presented and analysed the results obtained using the proposed algorithm to demonstrate its effectiveness.

History

Publication title

Proceedings of MLSDA 2013

Volume

2

Editors

JD Deng, H Zhang

Pagination

13-18

ISBN

978-1-4503-2513-4

Department/School

Information and Communication Technology

Publisher

Association for Computing Machinery, Inc.

Publication status

  • Published

Place of publication

Dunedin, New Zealand

Event title

First Workshop on Machine Learning for Sensory Data Analysis

Event Venue

Dunedin, New Zealand

Date of Event (Start Date)

2013-12-03

Date of Event (End Date)

2013-12-03

Rights statement

Copyright 2013 ACM

Socio-economic Objectives

100203 Aquaculture molluscs (excl. oysters)

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    University Of Tasmania

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