Identifying characteristics of seaports for environmental benchmarks based on meta-learning

Ana Ximena Halabi Echeverry, Deborah Richards, Ayse Bilgin

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

2 Citations (Scopus)


In this paper we discuss a model which classifies any seaport in the context of environmental management system standards as leader, follower and average user. Identification of this status can assist Port Authorities (PAs) in making decisions concerned with finding collaborating seaport partners using clear environmental benchmarks. This paper demonstrates the suitability of meta-learning for small datasets to assist pre-selection of base-algorithms and automatic parameterization. The method is suitable for small number of observations with many attributes closely related with potential issues concerning environmental management programs on seaports. The variables in our dataset cover main aspects such as reducing air emissions, improving water quality and minimizing impacts of growth. We consider this model will be suitable for Port authorities (PAs) interested in effective and efficient methods of knowledge discovery to be able to gain the maximum advantage of benchmarking processes within partner ports. As well as for practitioners and non-expert users who want to construct a reliable classification process and reduce the evaluation time of data processing for environmental benchmarking.
Original languageEnglish
Title of host publicationKnowledge management and acquisition for intelligent systems
Subtitle of host publication12th Pacific Rim Knowledge Acquisition Workshop, PKAW 2012, Kuching, Malaysia, September 5-6 2012 : proceedings
EditorsDeborah Richards, Byeong Ho Kang
Place of PublicationHeidelberg
PublisherSpringer, Springer Nature
Number of pages14
ISBN (Print)9783642325403
Publication statusPublished - 2012
EventPacific Rim Knowledge Acquisition Workshop (12th : 2012) - Kuching, Malaysia
Duration: 5 Sep 20126 Sep 2012

Publication series

NameLecture notes in computer science
ISSN (Print)0302-9743


WorkshopPacific Rim Knowledge Acquisition Workshop (12th : 2012)
CityKuching, Malaysia


  • classification in small datasets
  • meta-learning
  • environmental benchmarks
  • seaports


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