@article{ref1,
title="Data mining in child welfare",
journal="Child welfare",
year="2000",
author="Schoech, D. and Rycraft, J. R. and Quinn, A.",
volume="79",
number="5",
pages="633-650",
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.<p /><p>Language: en</p>",
language="en",
issn="0009-4021",
doi="",
url="http://dx.doi.org/"
}