Citation

Schoech D, Quinn A, Rycraft JR. Child Welf. 2000; 79(5): 633-650.

Affiliation

University of Texas at Arlington School of Social Work, USA.

Copyright

(Copyright © 2000, Child Welfare League of America)

DOI

unavailable

PMID

11021351

Abstract

Data mining is the sifting through of voluminous data to extract knowledge for decision making. This article illustrates the context, concepts, processes, techniques, and tools of data mining, using statistical and neural network analyses on a dataset concerning employee turnover. The resulting models and their predictive capability, advantages and disadvantages, and implications for decision support are highlighted.

Language: en