Classification Rule Extraction by Ant-Miner for Weed Risk Assessment
- Description:
- Weed risk assessment (WRA) models developed by Pheloung et al. (1999) and Daehler et al. (2004) allow an informed decision prior to introducing potentially invasive plant species into a country. In this study, Ant-Miner, a data mining tool, is used to develop classification rules for WRA models of Australia, and Hawaii and the Pacific. Ant-Miner (Parpinelli et al., 2002), based on Ant Colony Op...
- Display date:
- 2007
- Location:
- Hawaiʻi
- Format:
- Conference paper
- Collections:
- UC Research Repository
- Publisher:
- University of Canterbury. Mathematics and Statistics.
- Content partner:
- University of Canterbury Library
- Availability:
- Not specified
-
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