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Practical web analytics for user exp...

Beasley, Michael, (1980-)

Practical web analytics for user experience[electronic resource] :how analytics can help you understand your users /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	006.3
書名/作者:	Practical web analytics for user experience : how analytics can help you understand your users // Michael Beasley, UX Designer, ITHAKA, Ypsilanti, Michigan, USA.
作者:	Beasley, Michael,
出版者:	Amsterdam ; : Morgan Kaufmann, an imprint of Elsevier,, 2013.
面頁冊數:	xv, 234 p. : : ill. ;; 24 cm.
附註:	Includes index.
標題:	Web usage mining.
標題:	Internet users - Attitudes.
標題:	Web sites - Development.
ISBN:	9780124046191 (electronic bk.)
ISBN:	9780124046191
內容註:	Pt. 1. Introduction to web analytics -- pt. 2. Learning about users through web analytics -- pt. 3. Advanced topics.
電子資源:	http://www.sciencedirect.com/science/book/9780124046191

Practical web analytics for user experience[electronic resource] :how analytics can help you understand your users /
Beasley, Michael,1980-

Practical web analytics for user experiencehow analytics can help you understand your users /[electronic resource] :Michael Beasley, UX Designer, ITHAKA, Ypsilanti, Michigan, USA. - Amsterdam ;Morgan Kaufmann, an imprint of Elsevier,2013. - xv, 234 p. :ill. ;24 cm.

Includes index.

Pt. 1. Introduction to web analytics -- pt. 2. Learning about users through web analytics -- pt. 3. Advanced topics.

ISBN: 9780124046191 (electronic bk.)

LCCN: 2013010542Subjects--Topical Terms:

404304
Web usage mining.

LC Class. No.: ZA4235 / .B43 2013

Dewey Class. No.: 006.3

Practical web analytics for user experience[electronic resource] :how analytics can help you understand your users /
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245 1 0 $a Practical web analytics for user experience $h [electronic resource] : $b how analytics can help you understand your users / $c Michael Beasley, UX Designer, ITHAKA, Ypsilanti, Michigan, USA.
260 $a Amsterdam ; $a Boston : $b Morgan Kaufmann, an imprint of Elsevier, $c 2013.
300 $a xv, 234 p. : $b ill. ; $c 24 cm.
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505 0 $a Pt. 1. Introduction to web analytics -- pt. 2. Learning about users through web analytics -- pt. 3. Advanced topics.
650 0 $a Web usage mining. $3 404304
650 0 $a Internet users $x Attitudes. $3 339501
650 0 $a Web sites $x Development. $3 573506
856 4 0 $u http://www.sciencedirect.com/science/book/9780124046191

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