Improving management of aquatic invasions by integrating shipping network, ecological, and environmental data: data mining for social good

@article{Xu2014ImprovingMO,
  title={Improving management of aquatic invasions by integrating shipping network, ecological, and environmental data: data mining for social good},
  author={Jian Xu and T. Wickramarathne and N. Chawla and E. Grey and K. Steinhaeuser and R. Keller and J. Drake and D. Lodge},
  journal={Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining},
  year={2014}
}
  • Jian Xu, T. Wickramarathne, +5 authors D. Lodge
  • Published 2014
  • Computer Science
  • Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining
The unintentional transport of invasive species (i.e., non-native and harmful species that adversely affect habitats and native species) through the Global Shipping Network (GSN) causes substantial losses to social and economic welfare (e.g., annual losses due to ship-borne invasions in the Laurentian Great Lakes is estimated to be as high as USD 800 million). Despite the huge negative impacts, management of such invasions remains challenging because of the complex processes that lead to… Expand
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