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

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Volumn , Issue , 2014, Pages 1699-1708

  Xu, Jian ^a,b   Wickramarathne, Thanuka L ^a,b   Chawla, Nitesh V ^a,b   Grey, Erin K ^b   Steinhaeuser, Karsten ^c   Keller, Reuben P ^d   Drake, John M ^e   Lodge, David M ^b  

^a University of Notre Dame   (United States)

^b UNIVERSITY OF NOTRE DAME   (United States)

^c UNIVERSITY OF MINNESOTA   (United States)

^d LOYOLA UNIVERSITY CHICAGO   (United States)

^e UNIVERSITY OF GEORGIA   (United States)

Author keywords

clustering; data mining; data mining for social good; invasive species; networks; risk assessment

Indexed keywords

EID: 84907021019     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2623330.2623364     Document Type: Conference Paper

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