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Privacy in Social Networks (Synthesis Lectures on Data Mining and Knowledge Discovery)
Language: English
Published by Morgan & Claypool Publishers, 2012
ISBN 10: 1608458628 ISBN 13: 9781608458622
Soft cover. Condition: As New. As New book, no flaws. All of our books are individually inspected and described. Never ex-library unless explicitly described as such.
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Condition: New. 1st edition NO-PA16APR2015-KAP.
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PF. Condition: New.
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Privacy in Social Networks (Synthesis Lectures on Data Mining and Knowledge Discovery)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 30.11
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In English.
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Privacy In Social Networks
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New.
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Condition: New.
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Privacy in Social Networks
Language: English
Published by Springer International Publishing, Springer International Publishing Apr 2012, 2012
ISBN 10: 3031007735 ISBN 13: 9783031007736
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware -This synthesis lecture provides a survey of work on privacy in online social networks (OSNs). This work encompasses concerns of users as well as service providers and third parties. Our goal is to approach such concerns from a computer-science perspective, and building upon existing work on privacy, security, statistical modeling and databases to provide an overview of the technical and algorithmic issues related to privacy in OSNs. We start our survey by introducing a simple OSN data model and describe common statistical-inference techniques that can be used to infer potentially sensitive information. Next, we describe some privacy definitions and privacy mechanisms for data publishing. Finally, we describe a set of recent techniques for modeling, evaluating, and managing individual users' privacy risk within the context of OSNs. Table of Contents: Introduction / A Model for Online Social Networks / Types of Privacy Disclosure / Statistical Methods for Inferring Information in Networks / Anonymity and Differential Privacy / Attacks and Privacy-preserving Mechanisms / Models of Information Sharing / Users' Privacy Risk / Management of Privacy SettingsSpringer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 108 pp. Englisch.
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Privacy in Social Networks
Language: English
Published by Springer International Publishing, 2012
ISBN 10: 3031007735 ISBN 13: 9783031007736
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This synthesis lecture provides a survey of work on privacy in online social networks (OSNs). This work encompasses concerns of users as well as service providers and third parties. Our goal is to approach such concerns from a computer-science perspective, and building upon existing work on privacy, security, statistical modeling and databases to provide an overview of the technical and algorithmic issues related to privacy in OSNs. We start our survey by introducing a simple OSN data model and describe common statistical-inference techniques that can be used to infer potentially sensitive information. Next, we describe some privacy definitions and privacy mechanisms for data publishing. Finally, we describe a set of recent techniques for modeling, evaluating, and managing individual users' privacy risk within the context of OSNs. Table of Contents: Introduction / A Model for Online Social Networks / Types of Privacy Disclosure / Statistical Methods for Inferring Information in Networks / Anonymity and Differential Privacy / Attacks and Privacy-preserving Mechanisms / Models of Information Sharing / Users' Privacy Risk / Management of Privacy Settings.
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Taschenbuch. Condition: Neu. Privacy in Social Networks | Elena Zheleva (u. a.) | Taschenbuch | Synthesis Lectures on Data Mining and Knowledge Discovery | x | Englisch | 2012 | Springer | EAN 9783031007736 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Condition: new. Questo è un articolo print on demand.
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Condition: New. Print on Demand.
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Condition: New. PRINT ON DEMAND.
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Privacy in Social Networks
Language: English
Published by Springer International Publishing Apr 2012, 2012
ISBN 10: 3031007735 ISBN 13: 9783031007736
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This synthesis lecture provides a survey of work on privacy in online social networks (OSNs). This work encompasses concerns of users as well as service providers and third parties. Our goal is to approach such concerns from a computer-science perspective, and building upon existing work on privacy, security, statistical modeling and databases to provide an overview of the technical and algorithmic issues related to privacy in OSNs. We start our survey by introducing a simple OSN data model and describe common statistical-inference techniques that can be used to infer potentially sensitive information. Next, we describe some privacy definitions and privacy mechanisms for data publishing. Finally, we describe a set of recent techniques for modeling, evaluating, and managing individual users' privacy risk within the context of OSNs. Table of Contents: Introduction / A Model for Online Social Networks / Types of Privacy Disclosure / Statistical Methods for Inferring Information in Networks / Anonymity and Differential Privacy / Attacks and Privacy-preserving Mechanisms / Models of Information Sharing / Users' Privacy Risk / Management of Privacy Settings 108 pp. Englisch.
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Privacy in Social Networks
Language: English
Published by Springer International Publishing, 2012
ISBN 10: 3031007735 ISBN 13: 9783031007736
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Elena Zheleva is a Data Scientist at LivingSocial. She received a Ph.D. in Computer Science from the University of Maryland, College Park in 2011. Her research interests lie in data mining and machine learning for social networks and social media, focusing .
