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02572nam a22005295i 4500 |
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978-3-319-56793-8 |
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DE-He213 |
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20170619194336.0 |
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cr nn 008mamaa |
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170608s2017 gw | s |||| 0|eng d |
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|a 9783319567938
|9 978-3-319-56793-8
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|a 10.1007/978-3-319-56793-8
|2 doi
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|d GrThAP
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|a QA76.9.A25
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|a UR
|2 bicssc
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|a UTN
|2 bicssc
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|a COM053000
|2 bisacsh
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|a 005.8
|2 23
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|a Zhu, Xingquan.
|e author.
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|a Fraud Prevention in Online Digital Advertising
|h [electronic resource] /
|c by Xingquan Zhu, Haicheng Tao, Zhiang Wu, Jie Cao, Kristopher Kalish, Jeremy Kayne.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2017.
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|a XIV, 54 p. 87 illus., 15 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a SpringerBriefs in Computer Science,
|x 2191-5768
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|a The authors systematically review methods of online digital advertising (ad) fraud and the techniques to prevent and defeat such fraud in this brief. The authors categorize ad fraud into three major categories, including (1) placement fraud, (2) traffic fraud, and (3) action fraud. It summarizes major features of each type of fraud, and also outlines measures and resources to detect each type of fraud. This brief provides a comprehensive guideline to help researchers understand the state-of-the-art in ad fraud detection. It also serves as a technical reference for industry to design new techniques and solutions to win the battle against fraud.
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|a Computer science.
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|a Computer communication systems.
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|a Computer security.
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|a Computer Science.
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|a Systems and Data Security.
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|a Information Systems Applications (incl. Internet).
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|a Computer Communication Networks.
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700 |
1 |
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|a Tao, Haicheng.
|e author.
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1 |
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|a Wu, Zhiang.
|e author.
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700 |
1 |
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|a Cao, Jie.
|e author.
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700 |
1 |
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|a Kalish, Kristopher.
|e author.
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|a Kayne, Jeremy.
|e author.
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2 |
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|a SpringerLink (Online service)
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|t Springer eBooks
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776 |
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8 |
|i Printed edition:
|z 9783319567921
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830 |
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|a SpringerBriefs in Computer Science,
|x 2191-5768
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856 |
4 |
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|u http://dx.doi.org/10.1007/978-3-319-56793-8
|z Full Text via HEAL-Link
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912 |
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|a ZDB-2-SCS
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950 |
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|a Computer Science (Springer-11645)
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