Scientific workflow management with ADAMS: building and data mining a database of crop protection and related data

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Title

Scientific workflow management with ADAMS: building and data mining a database of crop protection and related data

Content partner

University of Waikato

Collection

ResearchCommons@Waikato

Description

Data mining is said to be a field that encourages data to speak for itself rather than “forcing” data to conform to a pre-specified model, but we have to acknowledge that what is spoken by the data may well be gibberish. To obtain meaning from data it is important to use techniques systematically, to follow sound experimental procedure and to examine results expertly. This paper presents a framework for scientific discovery from data with two examples from the biological sciences. The first c...

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Format

Research paper

Research format

Book item

Date created

2015

Creator

Reutemann, Peter / Holmes, Geoffrey

URL

https://hdl.handle.net/10289/10675

Related subjects

Machine learning

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© 2015 New Zealand Plant Protection Society. Used with permission.

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