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Data analytics for traditional Chine...

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K. Poon, Simon.

Data analytics for traditional Chinese medicine research

Record Type:	Electronic resources : Monograph/item
Title/Author:	Data analytics for traditional Chinese medicine researchedited by Josiah Poon, Simon K. Poon.
other author:	Poon, Josiah.
Published:	Cham :Springer International Publishing :2014.
Description:	xii, 248 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Medicine, ChineseResearch.
Online resource:	http://dx.doi.org/10.1007/978-3-319-03801-8
ISBN:	9783319038018 (electronic bk.)

Data analytics for traditional Chinese medicine research
Data analytics for traditional Chinese medicine research[electronic resource] /edited by Josiah Poon, Simon K. Poon. - Cham :Springer International Publishing :2014. - xii, 248 p. :ill., digital ;24 cm.

ISBN: 9783319038018 (electronic bk.)Subjects--Topical Terms:

678930
Medicine, Chinese
--Research.

LC Class. No.: R601 / .D38 2014

Dewey Class. No.: 610.951

Data analytics for traditional Chinese medicine research
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020 $a 9783319038018 (electronic bk.)
020 $a 9783319038001 (paper)
035 $a 978-3-319-03801-8
040 $a GP $c GP
041 0 $a eng
050 4 $a R601 $b .D38 2014
082 0 4 $a 610.951 $2 23
090 $a R601 $b .D232 2014
245 0 0 $a Data analytics for traditional Chinese medicine research $h [electronic resource] / $c edited by Josiah Poon, Simon K. Poon.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2014.
300 $a xii, 248 p. : $b ill., digital ; $c 24 cm.
650 0 $a Medicine, Chinese $x Research. $3 678930
650 1 4 $a Computer Science. $3 212513
650 2 4 $a Data Mining and Knowledge Discovery. $3 275288
650 2 4 $a Health Informatics. $3 274212
650 2 4 $a Pattern Recognition. $3 273706
700 1 $a Poon, Josiah. $3 678928
700 1 $a K. Poon, Simon. $3 678929
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-03801-8
950 $a Computer Science (Springer-11645)

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000000097121

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1圖書

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EB R601 D232 2014

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1 records • Pages 1 •
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http://dx.doi.org/10.1007/978-3-319-03801-8

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