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Data mining the 1997 National Ambula...

Durbin, Jonathan Paul.

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Data mining the 1997 National Ambulatory Medical Care Survey.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Data mining the 1997 National Ambulatory Medical Care Survey./
Author:	Durbin, Jonathan Paul.
Description:	98 p.
Notes:	Source: Masters Abstracts International, Volume: 40-02, page: 0456.
Contained By:	Masters Abstracts International40-02.
Subject:	Biology, Biostatistics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1406315
ISBN:	0493385290

Data mining the 1997 National Ambulatory Medical Care Survey.
Durbin, Jonathan Paul.

Data mining the 1997 National Ambulatory Medical Care Survey. - 98 p.

Source: Masters Abstracts International, Volume: 40-02, page: 0456.

Thesis (M.A.)--University of Louisville, 2001.

Data mining is a technique with a number of methods used to explore large datasets from a variety of angles with a wide spectrum of analytical tools. There are techniques for finding data, cleaning data, and validating results. For years new data have been collected by educational, research, commercial, and governmental entities for future analysis. The 1997 National Ambulatory Medical Care Survey dataset (NAMCS) is such a dataset available in the public domain at the C.D.C. [Centers for Disease Control and Prevention] for public consumption. Once this dataset was found, imported, and cleaned, it was analyzed. Although statistical packages have become extremely sophisticated, commercial statistical packages do not do everything needed for data mining. For this reason, a program was written (DFEPP) to analyze the data to display the results in a different manner using visualization techniques to present the significant results in an easily digested yet informative manner.

ISBN: 0493385290Subjects--Topical Terms:

1018416
Biology, Biostatistics.

Data mining the 1997 National Ambulatory Medical Care Survey.
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500 $a Source: Masters Abstracts International, Volume: 40-02, page: 0456.
502 $a Thesis (M.A.)--University of Louisville, 2001.
520 $a Data mining is a technique with a number of methods used to explore large datasets from a variety of angles with a wide spectrum of analytical tools. There are techniques for finding data, cleaning data, and validating results. For years new data have been collected by educational, research, commercial, and governmental entities for future analysis. The 1997 National Ambulatory Medical Care Survey dataset (NAMCS) is such a dataset available in the public domain at the C.D.C. [Centers for Disease Control and Prevention] for public consumption. Once this dataset was found, imported, and cleaned, it was analyzed. Although statistical packages have become extremely sophisticated, commercial statistical packages do not do everything needed for data mining. For this reason, a program was written (DFEPP) to analyze the data to display the results in a different manner using visualization techniques to present the significant results in an easily digested yet informative manner.
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