Sciweavers

Share
DATAMINE
2002

High-Performance Commercial Data Mining: A Multistrategy Machine Learning Application

9 years 3 months ago
High-Performance Commercial Data Mining: A Multistrategy Machine Learning Application
We present an application of inductive concept learning and interactive visualization techniques to a large-scale commercial data mining project. This paper focuses on design and configuration of high-level optimization systems (wrappers) for relevance determination and constructive induction, and on integrating these wrappers with elicited knowledge on attribute relevance and synthesis. In particular, we discuss decision support issues for the application (cost prediction for automobile insurance markets in several states) and report experiments using D2K, a Java-based visual programming system for data mining and information visualization, and several commercial and research tools. We describe exploratory clustering, descriptive statistics, and supervised decision tree learning in this application, focusing on a parallel genetic algorithm (GA) system, Jenesis, which is used to implement relevance determination (attribute subset selection). Deployed on several high-performance network...
William H. Hsu, Michael Welge, Thomas Redman, Davi
Added 18 Dec 2010
Updated 18 Dec 2010
Type Journal
Year 2002
Where DATAMINE
Authors William H. Hsu, Michael Welge, Thomas Redman, David Clutter
Comments (0)
books