From Sociology to Computing in Social Networks provides an analysis of social networking and the emerging trends in data mining. Topics include social network modeling, customizable social network infrastructure construction, dynamic growth and evolution patterns identification, and more.
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Important aspects of social networking analysis are covered in this work by combining experimental and theoretical research. A specific focus is devoted to emerging trends and the industry needs associated with utilizing data mining techniques. Some of the techniques covered include data mining advances in the discovery and analysis of communities, in the personalization of solitary activities (like searches) and social activities (like discovering potential friends), in the analysis of user behavior in open fora (like conventional sites, blogs and fora) and in commercial platforms (like e-auctions), and in the associated security and privacy-preservation challenges; as well as social network modeling, scalable, customizable social network infrastructure construction, and the identification and discovery of dynamic growth and evolution patterns using machine learning approaches or multi-agent based simulation. These topics will be of interest to practitioners and researchers alike in this dynamic and growing field.
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Important aspects of social networking analysis and are covered in this work by soliciting experimental as well as theoretical research. A specific focus is devoted to emerging trends and industry needs associated with utilizing data mining techniques. Some of the techniques covered include (1) data mining advances on the discovery and analysis of communities, on personalization for solitary activities (like search) and social activities (like discovery of potential friends), on the analysis of user behavior in open fora (like conventional sites, blogs and fora) and in commercial platforms (like e-auctions) and on the associated security and privacy-preservation challenges; (2) social network modeling, scalable, customizable social network infrastructure construction , dynamic growth and evolution patterns identification and discovery using machine learning approaches or multi-agent based simulation. Of interest to practitioners and researchers alike in this dynamic and growing field. 452 pp. Englisch. N° de réf. du vendeur 9783709102930
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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Experts in Social Networking and Data Mining have come together to create this volumeSpecial Focus on emerging trends and the needs of industry associated with data mining techniques for social networkingUseful applications for utilizing the commercial aspe. N° de réf. du vendeur 5249508
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Buch. Etat : Neu. From Sociology to Computing in Social Networks | Theory, Foundations and Applications | Nasrullah Memon (u. a.) | Buch | Lecture Notes in Social Networks | xix | Englisch | 2010 | Springer | EAN 9783709102930 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. N° de réf. du vendeur 101073561
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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Important aspects of social networking analysis are covered in this work by combining experimental and theoretical research. A specific focus is devoted to emerging trends and the industry needs associated with utilizing data mining techniques. Some of the techniques covered include data mining advances in the discovery and analysis of communities, in the personalization of solitary activities (like searches) and social activities (like discovering potential friends), in the analysis of user behavior in open fora (like conventional sites, blogs and fora) and in commercial platforms (like e-auctions), and in the associated security and privacy-preservation challenges; as well as social network modeling, scalable, customizable social network infrastructure construction, and the identification and discovery of dynamic growth and evolution patterns using machine learning approaches or multi-agent based simulation. These topics will be of interest to practitioners and researchers alike in this dynamic and growing field.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 452 pp. Englisch. N° de réf. du vendeur 9783709102930
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Etat : Gut. Zustand: Gut | Seiten: 452 | Sprache: Englisch | Produktart: Bücher | Important aspects of social networking analysis are covered in this work by combining experimental and theoretical research. A specific focus is devoted to emerging trends and the industry needs associated with utilizing data mining techniques. Some of the techniques covered include data mining advances in the discovery and analysis of communities, in the personalization of solitary activities (like searches) and social activities (like discovering potential friends), in the analysis of user behavior in open fora (like conventional sites, blogs and fora) and in commercial platforms (like e-auctions), and in the associated security and privacy-preservation challenges; as well as social network modeling, scalable, customizable social network infrastructure construction, and the identification and discovery of dynamic growth and evolution patterns using machine learning approaches or multi-agent based simulation. These topics will be of interest to practitioners and researchers alike in this dynamic and growing field. N° de réf. du vendeur 7915843/13
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Important aspects of social networking analysis and are covered in this work by soliciting experimental as well as theoretical research. A specific focus is devoted to emerging trends and industry needs associated with utilizing data mining techniques. Some of the techniques covered include (1) data mining advances on the discovery and analysis of communities, on personalization for solitary activities (like search) and social activities (like discovery of potential friends), on the analysis of user behavior in open fora (like conventional sites, blogs and fora) and in commercial platforms (like e-auctions) and on the associated security and privacy-preservation challenges; (2) social network modeling, scalable, customizable social network infrastructure construction , dynamic growth and evolution patterns identification and discovery using machine learning approaches or multi-agent based simulation. Of interest to practitioners and researchers alike in this dynamic and growing field. N° de réf. du vendeur 9783709102930
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