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Analysing Web Traffic: A Case Study on Artificial and Genuine Advertisement-Related Behaviour: 127 (Studies in Big Data) - Tapa dura
Sinopsis
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.
"Sinopsis" puede pertenecer a otra edición de este libro.
De la contraportada
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.
"Sobre este título" puede pertenecer a otra edición de este libro.
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Analysing Web Traffic
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Springer, Berlin|Springer Nature Switzerland|Springer, 2023
ISBN 10: 3031325028
ISBN 13: 9783031325021
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 sh. Nº de ref. del artículo: 848651733
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Analysing Web Traffic
Publicado por
Springer Nature Switzerland Jun 2023, 2023
ISBN 10: 3031325028
ISBN 13: 9783031325021
Nuevo
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 176 pp. Englisch. Nº de ref. del artículo: 9783031325021
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Analysing Web Traffic : A Case Study on Artificial and Genuine Advertisement-Related Behaviour
Publicado por
Springer Nature Switzerland, 2023
ISBN 10: 3031325028
ISBN 13: 9783031325021
Nuevo
Tapa dura
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Nº de ref. del artículo: 9783031325021
Cantidad disponible: 1 disponibles
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Analysing Web Traffic
Publicado por
Springer Nature Switzerland, Springer International Publishing Jun 2023, 2023
ISBN 10: 3031325028
ISBN 13: 9783031325021
Nuevo
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 176 pp. Englisch. Nº de ref. del artículo: 9783031325021
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Analysing Web Traffic : A Case Study on Artificial and Genuine Advertisement-related Behaviour
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Analysing Web Traffic : A Case Study on Artificial and Genuine Advertisement-related Behaviour
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Analysing Web Traffic: A Case Study on Artificial and Genuine Advertisement-Related Behaviour (Studies in Big Data, 127)
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Analysing Web Traffic: A Case Study on Artificial and Genuine Advertisement-Related Behaviour (Studies in Big Data, 127)
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Analysing Web Traffic: A Case Study on Artificial and Genuine Advertisement-Related Behaviour (Studies in Big Data, 127)
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Condición: New. PRINT ON DEMAND. Nº de ref. del artículo: 18396297451
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Analysing Web Traffic: A Case Study on Artificial and Genuine Advertisement-related Behaviour
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Springer-Nature New York Inc, 2023
ISBN 10: 3031325028
ISBN 13: 9783031325021
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Librería: Revaluation Books, Exeter, Reino Unido
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Hardcover. Condición: Brand New. 176 pages. 9.25x6.10x0.51 inches. In Stock. Nº de ref. del artículo: x-3031325028
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