SpringerLink
Log in

Analysing Web Traffic

A Case Study on Artificial and Genuine Advertisement-Related Behaviour

  • Book
  • © 2023

Overview

Authors:
  1. Agnieszka Jastrzębska

    1. Faculty of Mathematics and Information Science, Warsaw University of Technology, Warsaw, Poland

    View author publications

    You can also search for this author in PubMed   Google Scholar

  2. Jan W. Owsiński

    1. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    View author publications

    You can also search for this author in PubMed   Google Scholar

  3. Karol Opara

    1. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    View author publications

    You can also search for this author in PubMed   Google Scholar

  4. Marek Gajewski

    1. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    View author publications

    You can also search for this author in PubMed   Google Scholar

  5. Olgierd Hryniewicz

    1. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    View author publications

    You can also search for this author in PubMed   Google Scholar

  6. Mariusz Kozakiewicz

    1. Warsaw School of Economics, Warsaw, Poland

    View author publications

    You can also search for this author in PubMed   Google Scholar

  7. Sławomir Zadrożny

    1. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    View author publications

    You can also search for this author in PubMed   Google Scholar

  8. Tomasz Zwierzchowski

    1. EDGE NPD Co. Ltd., Warsaw, Poland

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • Presents an ample, richly illustrated account on the analysis of data concerning behavior patterns on the Web
  • Provides a rich bibliography on the main problem approached and on the various methodologies tried out
  • Gives a full-fledged report from a wide range of analytic and design efforts

Part of the book series: Studies in Big Data (SBD, volume 127)

  • 626 Accesses

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

About this book

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 theappropriateness 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.

Keywords

Table of contents (7 chapters)

  1. Front Matter

    Pages i-xx
    Download chapter PDF

  2. The Problem and Its Key Characteristics

    • Agnieszka Jastrzębska, Jan W. Owsiński, Karol Opara, Marek Gajewski, Olgierd Hryniewicz, Mariusz Kozakiewicz et al.
    Pages 1-14

  3. The Pragmatics of the Data Acquisition and Assessment

    • Agnieszka Jastrzębska, Jan W. Owsiński, Karol Opara, Marek Gajewski, Olgierd Hryniewicz, Mariusz Kozakiewicz et al.
    Pages 15-24

  4. The Proper Representation: Patterns, Variables and Their Analysis

    • Agnieszka Jastrzębska, Jan W. Owsiński, Karol Opara, Marek Gajewski, Olgierd Hryniewicz, Mariusz Kozakiewicz et al.
    Pages 25-54

  5. Clustering Analysis

    • Agnieszka Jastrzębska, Jan W. Owsiński, Karol Opara, Marek Gajewski, Olgierd Hryniewicz, Mariusz Kozakiewicz et al.
    Pages 55-80

  6. Building the Classifiers

    • Agnieszka Jastrzębska, Jan W. Owsiński, Karol Opara, Marek Gajewski, Olgierd Hryniewicz, Mariusz Kozakiewicz et al.
    Pages 81-107

  7. The Hybrid Cluster-And-Classify Approach

    • Agnieszka Jastrzębska, Jan W. Owsiński, Karol Opara, Marek Gajewski, Olgierd Hryniewicz, Mariusz Kozakiewicz et al.
    Pages 109-153

  8. A Summary View of the Problem and Its Solution

    • Agnieszka Jastrzębska, Jan W. Owsiński, Karol Opara, Marek Gajewski, Olgierd Hryniewicz, Mariusz Kozakiewicz et al.
    Pages 155-156
Back to top

Authors and Affiliations

  • Faculty of Mathematics and Information Science, Warsaw University of Technology, Warsaw, Poland

    Agnieszka Jastrzębska

  • Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Jan W. Owsiński, Karol Opara, Marek Gajewski, Olgierd Hryniewicz, Sławomir Zadrożny

  • Warsaw School of Economics, Warsaw, Poland

    Mariusz Kozakiewicz

  • EDGE NPD Co. Ltd., Warsaw, Poland

    Tomasz Zwierzchowski

Bibliographic Information

  • Book Title: Analysing Web Traffic

  • Book Subtitle: A Case Study on Artificial and Genuine Advertisement-Related Behaviour

  • Authors: Agnieszka Jastrzębska, Jan W. Owsiński, Karol Opara, Marek Gajewski, Olgierd Hryniewicz, Mariusz Kozakiewicz, Sławomir Zadrożny, … Tomasz Zwierzchowski

  • Series Title: Studies in Big Data

  • DOI: https://doi.org/10.1007/978-3-031-32503-8

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Hardcover ISBN: 978-3-031-32502-1Published: 27 June 2023

  • Softcover ISBN: 978-3-031-32505-2Published: 28 June 2024

  • eBook ISBN: 978-3-031-32503-8Published: 26 June 2023

  • Series ISSN: 2197-6503

  • Series E-ISSN: 2197-6511

  • Edition Number: 1

  • Number of Pages: XX, 156

  • Number of Illustrations: 5 b/w illustrations, 90 illustrations in colour

  • Topics: Data Engineering, Computational Intelligence, Big Data

Publish with us

Policies and ethics

Back to top

Search

Navigation