Experience with a Parallel Decision Tree Builder
Thomas Moore, Larry Hall and Kevin Bowyer
Department of Computer Science and Engineering
University of South Florida
Tampa, Fl 33620
tmoore4 | hall | kwb @csee.usf.edu
fax: 813.974.5456
contact for correspondence: tmoore4@csee.usf.edu
Abstract
Parallel classifiers are important in the development of data mining tools for massive data sets. The ScalParC parallel decision tree system is a well-known example. We identify a problem in the ScalParC implementation and discuss the effects of correcting this problem on the scalability of the approach.
Keywords
parallel decision trees, data mining