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Statistical data mining and its appl...

The University of Regina (Canada).

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Statistical data mining and its applications in health claims.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Statistical data mining and its applications in health claims./
Author:	Liu, Hui.
Description:	83 p.
Notes:	Source: Masters Abstracts International, Volume: 47-02, page: 1039.
Contained By:	Masters Abstracts International47-02.
Subject:	Computer Science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MR42403
ISBN:	9780494424032

Statistical data mining and its applications in health claims.
Liu, Hui.

Statistical data mining and its applications in health claims. - 83 p.

Source: Masters Abstracts International, Volume: 47-02, page: 1039.

Thesis (M.Sc.)--The University of Regina (Canada), 2008.

Data mining has become a commonly used tool for different fields. Statistics has played an important role in data mining, from data exploration to analysis. Not only are its theories used as solid foundation, but its methods are integrated into data mining.

ISBN: 9780494424032Subjects--Topical Terms:

626642
Computer Science.

Statistical data mining and its applications in health claims.
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020 $a 9780494424032
035 $a (UMI)AAIMR42403
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040 $a UMI $c UMI
100 1 $a Liu, Hui. $3 803598
245 1 0 $a Statistical data mining and its applications in health claims.
300 $a 83 p.
500 $a Source: Masters Abstracts International, Volume: 47-02, page: 1039.
502 $a Thesis (M.Sc.)--The University of Regina (Canada), 2008.
520 $a Data mining has become a commonly used tool for different fields. Statistics has played an important role in data mining, from data exploration to analysis. Not only are its theories used as solid foundation, but its methods are integrated into data mining.
520 $a In this thesis, statistics and its application in data mining are discussed, such as statistics models of mixture model, regression, Bayesian theorem, along with methods based on them, such as mixture model based clustering, Bayesian theorem classifier, and regression based anomaly detection.
520 $a Data mining projects in Saskatchewan Public Health claims are used to demonstrate statistical methods. Furthermore, results from statistical models are compared with results from other methods. It is found that although statistics models have their unique advantages, they are also subject to some limitations. Therefore, combining statistical methods with other methods can yield more robust results.
590 $a School code: 0148.
650 4 $a Computer Science. $3 626642
650 4 $a Statistics. $3 517247
690 $a 0463
690 $a 0984
710 2 $a The University of Regina (Canada). $3 1017617
773 0 $t Masters Abstracts International $g 47-02.
790 $a 0148
791 $a M.Sc.
792 $a 2008
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MR42403