Research Commons
      • Browse 
        • Communities & Collections
        • Titles
        • Authors
        • By Issue Date
        • Subjects
        • Types
        • Series
      • Help 
        • About
        • Collection Policy
        • OA Mandate Guidelines
        • Guidelines FAQ
        • Contact Us
      • My Account 
        • Sign In
        • Register
      View Item 
      •   Research Commons
      • University of Waikato Research
      • Computing and Mathematical Sciences
      • Computing and Mathematical Sciences Papers
      • View Item
      •   Research Commons
      • University of Waikato Research
      • Computing and Mathematical Sciences
      • Computing and Mathematical Sciences Papers
      • View Item
      JavaScript is disabled for your browser. Some features of this site may not work without it.

      Developing data mining applications

      Holmes, Geoffrey
      DOI
       10.1145/2339530.2339569
      Link
       dl.acm.org
      Find in your library  
      Citation
      Export citation
      Holmes, G. (2012). Developing data mining applications. In Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining (pp. 225-225). New York, USA: ACM.
      Permanent Research Commons link: https://hdl.handle.net/10289/8059
      Abstract
      In this talk I will review several real-world applications developed at the University of Waikato over the past 15 years. These include the use of near infrared spectroscopy coupled with data mining as an alternate laboratory technique for predicting compound concentrations in soil and plant samples, and the analysis of gas chromatography mass spectrometry (GCMS) data, a technique used to determine in environmental applications, for example, the petroleum content in soil and water samples. I will then briefly discuss how experience with these applications has led to the development of an open-source framework for application development.
      Date
      2013
      Type
      Conference Contribution
      Publisher
      ACM
      Collections
      • Computing and Mathematical Sciences Papers [1452]
      Show full item record  

      Usage

       
       
       

      Usage Statistics

      For this itemFor all of Research Commons

      The University of Waikato - Te Whare Wānanga o WaikatoFeedback and RequestsCopyright and Legal Statement