Hybrid data mining technique for application in geo-chemical data analysis
Keywords and Phrases
Hybrid Clustering Architecture
"The general objective of this research is to investigate the applicability of data mining techniques for knowledge discovery from data that is collected by performing tests to detect and measure hydrocarbons on soil samples collected from different sites. The purpose of the research is to construct a hybrid system using unsupervised learning algorithms and will be used to predict the class of unknown sites with high accuracy. The hybrid system is based on inductive learning trained from a given set of examples. The resulting system is then used to make predictions on previously unseen cases."--Introduction, page 1.
M.S. in Computer Science
University of Missouri--Rolla
xii, 85 leaves
© 2003 Shipra Dutta, All rights reserved.
Thesis - Citation
Library of Congress Subject Headings
Cluster analysis -- Computer programs
Hydrocarbons -- Analysis
Print OCLC #
Link to Catalog Record
Full-text not available: Request this publication directly from Missouri S&T Library or contact your local library.http://laurel.lso.missouri.edu/record=b5088466~S5
Dutta, Shipra, "Hybrid data mining technique for application in geo-chemical data analysis" (2003). Masters Theses. 2439.
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