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Paperback. Condition: Very Good. Ex-library paperback in very nice condition with the usual markings and attachments.
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Condition: As New. Unread book in perfect condition.
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Condition: As New. Unread book in perfect condition.
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Privacy and Security Issues in Data Mining and Machine Learning
Language: English
Published by Springer-Verlag Berlin and Heidelberg GmbH and Co. KG, DE, 2011
ISBN 10: 3642198953 ISBN 13: 9783642198953
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: New. 2011th.
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Privacy and Security Issues in Data Mining and Machine Learning: International ECML/PKDD Workshop, PSDML 2010, Barcelona, Spain, September 24, 2010. ... (Lecture Notes in Computer Science, 6549)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Ships from United Kingdom to U.S.A.Quantity: Over 20 available
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Privacy, Security, and Trust in KDD: First ACM SIGKDD International Workshop, PinKDD 2007, San Jose, CA, USA, August 12, 2007, Revised, Selected Papers (Lecture Notes in Computer Science, 4890)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Condition: New. pp. 192.
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Privacy and Security Issues in Data Mining and Machine Learning: International ECML/PKDD Workshop, PSDML 2010, Barcelona, Spain, September 24, 2010, Revised Selected Papers
Language: English
Published by Springer-Verlag New York Inc, 2011
ISBN 10: 3642198953 ISBN 13: 9783642198953
Paperback. Condition: Brand New. 149 pages. 9.00x6.00x0.25 inches. In Stock.
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Privacy, Security and Trust in Kdd: First Acm Sigkdd International Workshop, Pinkdd 2007, San Jose, Ca, USA, August 12, 2007, Revised, Selected Papers
Language: English
Published by Springer-Verlag New York Inc, 2008
ISBN 10: 3540784772 ISBN 13: 9783540784777
Paperback. Condition: Brand New. 2008 edition. 171 pages. 9.25x6.25x0.50 inches. In Stock.
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Condition: Used. pp. xxiii + 1084 1st Edition.
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Privacy, Security, and Trust in KDD : First ACM SIGKDD International Workshop, PinKDD 2007, San Jose, CA, USA, August 12, 2007, Revised, Selected Papers
Language: English
Published by Springer Berlin Heidelberg, 2008
ISBN 10: 3540784772 ISBN 13: 9783540784777
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Vast amounts of data are collected by service providers and system administ- tors, and are available in public information systems. Data mining technologies provide an ideal framework to assist in analyzing such collections for computer security and surveillance-related endeavors. For instance, system administrators can apply data mining to summarize activity patterns in access logs so that potential malicious incidents can be further investigated. Beyond computer - curity, data mining technology supports intelligence gathering and summari- tion for homeland security. For years, and most recently fueled by events such as September 11, 2001, government agencies have focused on developing and applying data mining technologies to monitor terrorist behaviors in public and private data collections. Theapplicationof data mining to person-speci cdata raisesseriousconcerns regarding data con dentiality and citizens privacy rights. These concerns have led to the adoption of various legislation and policy controls. In 2005, the - ropean Union passed a data-retention directive that requires all telephone and Internetservice providersto store data ontheir consumers for up to two yearsto assist in the prevention of terrorismand organized crime. Similar data-retention regulationproposalsareunderheateddebateintheUnitedStatesCongress. Yet, the debate often focuses on ethical or policy aspects of the problem, such that resolutions have polarized consequences; e. g. , an organization can either share data for data mining purposes or it can not. Fortunately, computer scientists, and data mining researchers in particular, have recognized that technology can beconstructedtosupportlesspolarizedsolutions. Computerscientistsaredev- oping technologies that enable data mining goals without sacri cing the privacy and security of the individuals to whom the data correspond.
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Condition: Used. pp. xxiii + 1084 Illus.
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Condition: Used. pp. xxiii + 1084.
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Taschenbuch. Condition: Neu. Privacy, Security, and Trust in KDD | First ACM SIGKDD International Workshop, PinKDD 2007, San Jose, CA, USA, August 12, 2007, Revised, Selected Papers | Francesco Bonchi (u. a.) | Taschenbuch | ix | Englisch | 2008 | Springer | EAN 9783540784777 | 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: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | without sacri?cing the privacy and security of the individuals to whom the data correspond.
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Paperback. Condition: Like New. Like NewLIKE NEW. book.
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Condition: new. Questo è un articolo print on demand.
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Privacy, Security, and Trust in KDD
Language: English
Published by Springer Berlin Heidelberg Mrz 2008, 2008
ISBN 10: 3540784772 ISBN 13: 9783540784777
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 -Vast amounts of data are collected by service providers and system administ- tors, and are available in public information systems. Data mining technologies provide an ideal framework to assist in analyzing such collections for computer security and surveillance-related endeavors. For instance, system administrators can apply data mining to summarize activity patterns in access logs so that potential malicious incidents can be further investigated. Beyond computer - curity, data mining technology supports intelligence gathering and summari- tion for homeland security. For years, and most recently fueled by events such as September 11, 2001, government agencies have focused on developing and applying data mining technologies to monitor terrorist behaviors in public and private data collections. Theapplicationof data mining to person-speci cdata raisesseriousconcerns regarding data con dentiality and citizens privacy rights. These concerns have led to the adoption of various legislation and policy controls. In 2005, the - ropean Union passed a data-retention directive that requires all telephone and Internetservice providersto store data ontheir consumers for up to two yearsto assist in the prevention of terrorismand organized crime. Similar data-retention regulationproposalsareunderheateddebateintheUnitedStatesCongress. Yet, the debate often focuses on ethical or policy aspects of the problem, such that resolutions have polarized consequences; e. g. , an organization can either share data for data mining purposes or it can not. Fortunately, computer scientists, and data mining researchers in particular, have recognized that technology can beconstructedtosupportlesspolarizedsolutions. Computerscientistsaredev- oping technologies that enable data mining goals without sacri cing the privacy and security of the individuals to whom the data correspond. 192 pp. Englisch.
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Condition: New. Print on Demand pp. 192 Illus.
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Condition: New. PRINT ON DEMAND pp. 192.
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Privacy, Security, and Trust in KDD
Language: English
Published by Springer Berlin Heidelberg, 2008
ISBN 10: 3540784772 ISBN 13: 9783540784777
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Invited Paper.- An Ad Omnia Approach to Defining and Achieving Private Data Analysis.- Contributed Papers.- Phoenix: Privacy Preserving Biclustering on Horizontally Partitioned Data.- Allowing Privacy Protection Algorithms to Jump Out of Local Optimums: An .
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Privacy and Security Issues in Data Mining and Machine Learning
Language: English
Published by Springer Berlin Heidelberg, 2011
ISBN 10: 3642198953 ISBN 13: 9783642198953
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Fast-track conference proceedingsState-of-the-art researchUp-to-date resultsThis book constitutes the refereed proceedings of the International ECML/PKDD Workshop on Privacy and Security Issues in Data Mining and Machine Learning, PSDML 2010, held in Ba.
