Analysing web traffic : a case study on artificial and genuine advertisement-related behaviour / Agnieszka Jastrzębska, Jan W. Owsiński, Karol Opara, Marek Gajewski, Olgierd Hryniewicz, Mariusz Kozakiewicz, Sławomir Zadrożny, Tomasz Zwierzchowski.
Jastrzębska, Agnieszka, author.; Owsiński, J. W. (Jan W.), author.; Opara, Karol, author.; Gajewski, Marek, author.; Hryniewicz, Olgierd, author.; Kozakiewicz, Mariusz, author.; Zadrożny, Sławomir, author.; Zwierzchowski, Tomasz, author.
2023
HF6146.I58 J37 2023
Available Online

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Title Analysing web traffic : a case study on artificial and genuine advertisement-related behaviour / Agnieszka Jastrzębska, Jan W. Owsiński, Karol Opara, Marek Gajewski, Olgierd Hryniewicz, Mariusz Kozakiewicz, Sławomir Zadrożny, Tomasz Zwierzchowski.
Author Jastrzębska, Agnieszka, author.
ISBN 9783031325038 (electronic bk.)
3031325036 (electronic bk.)
9783031325021
3031325028
DOI https://doi.org/10.1007/978-3-031-32503-8
Published Cham : Springer, 2023.
Language English
Description 1 online resource (xx, 156 pages) : illustrations (some color).
Item Number 10.1007/978-3-031-32503-8 doi
Call Number HF6146.I58 J37 2023
Dewey Decimal Classification 659.14/4
Summary This book presents ample, richly illustrated account on results and experience from a project, dealing with the analysis of data concerning behavior patterns on the Web. The advertising on the Web is dealt with, and the ultimate issue is to assess the share of the artificial, automated activity (ads fraud), as opposed to the genuine human activity. After a comprehensive introductory part, a full-fledged report is provided from a wide range of analytic and design efforts, oriented at: the representation of the Web behavior patterns, formation and selection of telling variables, structuring of the populations of behavior patterns, including the use of clustering, classification of these patterns, and devising most effective and efficient techniques to separate the artificial from the genuine traffic. A series of important and useful conclusions is drawn, concerning both the nature of the observed phenomenon, and hence the characteristics of the respective datasets, and the appropriateness of the methodological approaches tried out and devised. Some of these observations and conclusions, both related to data and to methods employed, provide a new insight and are sometimes surprising. The book provides also a rich bibliography on the main problem approached and on the various methodologies tried out.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed July 6, 2023).
Added Author Owsiński, J. W. (Jan W.), author.
Opara, Karol, author.
Gajewski, Marek, author.
Hryniewicz, Olgierd, author.
Kozakiewicz, Mariusz, author.
Zadrożny, Sławomir, author.
Zwierzchowski, Tomasz, author.
Series Studies in big data ; v. 127. 2197-6511
Available in Other Form Analysing Web Traffic
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The problem and its key characteristics
The pragmatics of the data acquisition and assessment
The proper representation: patterns, variables and their analysis
Clustering analysis
Building the classifiers
The hybrid cluster-and-classify approach
A summary view of the problem and its solution.

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