001470198 000__ 04548cam\\22007097i\4500
001470198 001__ 1470198
001470198 003__ OCoLC
001470198 005__ 20230803003406.0
001470198 006__ m\\\\\o\\d\\\\\\\\
001470198 007__ cr\un\nnnunnun
001470198 008__ 230706s2023\\\\sz\a\\\\ob\\\\000\0\eng\d
001470198 019__ $$a1387009078$$a1388503594
001470198 020__ $$a9783031325038$$q(electronic bk.)
001470198 020__ $$a3031325036$$q(electronic bk.)
001470198 020__ $$z9783031325021
001470198 020__ $$z3031325028
001470198 0247_ $$a10.1007/978-3-031-32503-8$$2doi
001470198 035__ $$aSP(OCoLC)1389489970
001470198 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dYDX$$dN$T
001470198 049__ $$aISEA
001470198 050_4 $$aHF6146.I58$$bJ37 2023
001470198 08204 $$a659.14/4$$223/eng/20230706
001470198 1001_ $$aJastrzębska, Agnieszka,$$eauthor.
001470198 24510 $$aAnalysing web traffic :$$ba case study on artificial and genuine advertisement-related behaviour /$$cAgnieszka Jastrzębska, Jan W. Owsiński, Karol Opara, Marek Gajewski, Olgierd Hryniewicz, Mariusz Kozakiewicz, Sławomir Zadrożny, Tomasz Zwierzchowski.
001470198 264_1 $$aCham :$$bSpringer,$$c2023.
001470198 300__ $$a1 online resource (xx, 156 pages) :$$billustrations (some color).
001470198 336__ $$atext$$btxt$$2rdacontent
001470198 337__ $$acomputer$$bc$$2rdamedia
001470198 338__ $$aonline resource$$bcr$$2rdacarrier
001470198 4901_ $$aStudies in big data,$$x2197-6511 ;$$vvolume 127
001470198 504__ $$aIncludes bibliographical references.
001470198 5050_ $$aThe 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.
001470198 506__ $$aAccess limited to authorized users.
001470198 520__ $$aThis 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.
001470198 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed July 6, 2023).
001470198 650_0 $$aInternet advertising.
001470198 650_0 $$aInternet marketing.
001470198 650_0 $$aConsumer behavior.
001470198 655_0 $$aElectronic books.
001470198 7001_ $$aOwsiński, J. W.$$q(Jan W.),$$eauthor.
001470198 7001_ $$aOpara, Karol,$$eauthor.
001470198 7001_ $$aGajewski, Marek,$$eauthor.
001470198 7001_ $$aHryniewicz, Olgierd,$$eauthor.
001470198 7001_ $$aKozakiewicz, Mariusz,$$eauthor.
001470198 7001_ $$aZadrożny, Sławomir,$$eauthor.
001470198 7001_ $$aZwierzchowski, Tomasz,$$eauthor.
001470198 77608 $$iPrint version:$$aJastrzębska, Agnieszka$$tAnalysing Web Traffic$$dCham : Springer,c2023$$z9783031325021
001470198 830_0 $$aStudies in big data ;$$vv. 127.$$x2197-6511
001470198 852__ $$bebk
001470198 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-32503-8$$zOnline Access$$91397441.1
001470198 909CO $$ooai:library.usi.edu:1470198$$pGLOBAL_SET
001470198 980__ $$aBIB
001470198 980__ $$aEBOOK
001470198 982__ $$aEbook
001470198 983__ $$aOnline
001470198 994__ $$a92$$bISE