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Data mining and knowledge discovery ...

Shi, Guangren.

Data mining and knowledge discovery for geoscientists[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	006.3/12
書名/作者:	Data mining and knowledge discovery for geoscientists/ Guangren Shi, professor of mathematical geology, Research Institute of Petroleum Exploration and Development, Beijing, China.
作者:	Shi, Guangren.
出版者:	Amsterdam ; : Elsevier,, 2014.
面頁冊數:	viii, 367 p. ;; 24 cm.
標題:	Geology - Data processing.
標題:	Data mining.
ISBN:	9780124104372 (electronic bk.)
ISBN:	9780124104372
書目註:	Includes bibliographical references and index.
摘要、提要註:	"In the early 21 century, data mining (DM) was predicted to be "one of the most revolutionary developments of the next decade," and chosen as one of 10 emerging technologies that will change the world (Hand et al., 2001; Larose, 2005; Larose, 2006). In fact, in the recent 20 years, the field of DM has seen enormous success, both in terms of broad-ranging application achievements and in terms of scientific progress and understanding. DM is the computerized process of extracting previously unknown and important actionable information and knowledge from database (DB). This knowledge can then be used to make crucial decisions by leveraging the individual's intuition and experience to objectively generate opportunities that might otherwise go undiscovered"--
電子資源:	http://www.sciencedirect.com/science/book/9780124104372

Data mining and knowledge discovery for geoscientists[electronic resource] /
Shi, Guangren.

Data mining and knowledge discovery for geoscientists[electronic resource] /Guangren Shi, professor of mathematical geology, Research Institute of Petroleum Exploration and Development, Beijing, China. - 1st ed. - Amsterdam ;Elsevier,2014. - viii, 367 p. ;24 cm.

Includes bibliographical references and index.

"In the early 21 century, data mining (DM) was predicted to be "one of the most revolutionary developments of the next decade," and chosen as one of 10 emerging technologies that will change the world (Hand et al., 2001; Larose, 2005; Larose, 2006). In fact, in the recent 20 years, the field of DM has seen enormous success, both in terms of broad-ranging application achievements and in terms of scientific progress and understanding. DM is the computerized process of extracting previously unknown and important actionable information and knowledge from database (DB). This knowledge can then be used to make crucial decisions by leveraging the individual's intuition and experience to objectively generate opportunities that might otherwise go undiscovered"--

ISBN: 9780124104372 (electronic bk.)

LCCN: 2013032294Subjects--Topical Terms:

554267
Geology
--Data processing.

LC Class. No.: QE48.8 / .S54 2014

Dewey Class. No.: 006.3/12

Data mining and knowledge discovery for geoscientists[electronic resource] /
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245 1 0 $a Data mining and knowledge discovery for geoscientists $h [electronic resource] / $c Guangren Shi, professor of mathematical geology, Research Institute of Petroleum Exploration and Development, Beijing, China.
250 $a 1st ed.
260 $a Amsterdam ; $a Boston : $b Elsevier, $c 2014.
300 $a viii, 367 p. ; $c 24 cm.
504 $a Includes bibliographical references and index.
520 $a "In the early 21 century, data mining (DM) was predicted to be "one of the most revolutionary developments of the next decade," and chosen as one of 10 emerging technologies that will change the world (Hand et al., 2001; Larose, 2005; Larose, 2006). In fact, in the recent 20 years, the field of DM has seen enormous success, both in terms of broad-ranging application achievements and in terms of scientific progress and understanding. DM is the computerized process of extracting previously unknown and important actionable information and knowledge from database (DB). This knowledge can then be used to make crucial decisions by leveraging the individual's intuition and experience to objectively generate opportunities that might otherwise go undiscovered"-- $c Provided by publisher.
650 0 $a Geology $x Data processing. $3 554267
650 0 $a Data mining. $3 337740
856 4 0 $u http://www.sciencedirect.com/science/book/9780124104372

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