Steve Ivie

From DML

Jump to: navigation, search

Steve Ivie has been been a researcher in the Data Mining Lab since April 2006. He received his Associate Degree in April 2005 from Utah Valley State College. He expects to graduate in December 2007, with a Bachelor's Degree in Computer Science from Brigham Young University. His has a personal web page at SteveIvie.com, and a blogspot at steveivie.blogspot.com. He loves working at the data mining lab, and has nothing but positive things to say about working at the data mining lab.

[edit] Research Projects

  • Record Linkage (current) - Genealogical Pedigree matching using machine learning and record linkage techniques.
  • KDD Cup 2006 - Identifying and labeling Pulmonary Embolisms using machine learning.


[edit] Expertise

  • Java - Tips and tricks using the eclipse IDE.
  • String Comparisons - Using SimMetrics, an open source extensible library of Similarity or Distance Metrics. Created a number of additional tools including ensambles of my favorite matching metrics.
  • Visual Basic - For quick and dirty RAD (Rapid Application Development).
  • Weka - Has worked quite a bit on using the free toolkit Weka for automating and customizing the machine learning process.
  • GUIs - Having worked in Technical support at Dentrix and for UCLA Neuropsychiatric Institute, has learned a number of tricks for making applications user friendly.


[edit] Publications

Ivie, S., Pixton, B. and Giraud-Carrier, C. (2007). Metric-Based Data Mining Model for Genealogical Record Linkage. In Proceedings of the IEEE International Conference on Information Reuse and Integration.

Ivie, S., Henry, G., Gatrell, H. and Giraud-Carrier, C. (2007). A Metric-Based Machine Learning Approach to Genealogical Record Linkage. In Proceedings of the 7th Annual Workshop on Technology for Family History and Genealogical Research.

Retrieved from "http://dml.cs.byu.edu/wiki/index.php/Steve_Ivie"
Personal tools