Articoli correlati a Proposed System for PPDDM using Enhanced Algorithms
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In recent years, increased concern over personal information and privacy protection has led to the development of a number of privacy protection techniques. These techniques have been suggested to ensure that data mining can be performed while the preservation of private information protection is maintained. In this book, a new system for privacy preserving distributed data mining (PPDDM) of association rules is proposed. This proposed system works under the common and realistic assumptions that parties are semi-honest, Semi-Trusted Third Party (STTP) and the databases are horizontally distributed over these parties. The system supports two levels for privacy; one for hiding sensitive rules and another for evaluating global associations rules for the remaining rules over different data parities without revealing any private data for any party. The proposed system can be used in any distributed database environment which needs to extract knowledge like hospitals, banks, telecommunication companies or any other organizations.
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Proposed System for PPDDM using Enhanced Algorithms
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LAP LAMBERT Academic Publishing Apr 2016, 2016
ISBN 10: 3659874043
ISBN 13: 9783659874048
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In recent years, increased concern over personal information and privacy protection has led to the development of a number of privacy protection techniques. These techniques have been suggested to ensure that data mining can be performed while the preservation of private information protection is maintained. In this book, a new system for privacy preserving distributed data mining (PPDDM) of association rules is proposed. This proposed system works under the common and realistic assumptions that parties are semi-honest, Semi-Trusted Third Party (STTP) and the databases are horizontally distributed over these parties. The system supports two levels for privacy; one for hiding sensitive rules and another for evaluating global associations rules for the remaining rules over different data parities without revealing any private data for any party. The proposed system can be used in any distributed database environment which needs to extract knowledge like hospitals, banks, telecommunication companies or any other organizations. 152 pp. Englisch. Codice articolo 9783659874048
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Proposed System for PPDDM using Enhanced Algorithms
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ISBN 10: 3659874043
ISBN 13: 9783659874048
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Da: moluna, Greven, Germania
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Al-Hadithy AlaaDr. Alaa K. Jumaah obtained his BSc(1997) and MSc(2004) degrees in Computer Engineering from the University of Technology, Baghdad-Iraq. He received his PhD in Database Systems from University of Sulaimani-Kurdistan Re. Codice articolo 159146775
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Proposed System for PPDDM using Enhanced Algorithms
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LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659874043
ISBN 13: 9783659874048
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In recent years, increased concern over personal information and privacy protection has led to the development of a number of privacy protection techniques. These techniques have been suggested to ensure that data mining can be performed while the preservation of private information protection is maintained. In this book, a new system for privacy preserving distributed data mining (PPDDM) of association rules is proposed. This proposed system works under the common and realistic assumptions that parties are semi-honest, Semi-Trusted Third Party (STTP) and the databases are horizontally distributed over these parties. The system supports two levels for privacy; one for hiding sensitive rules and another for evaluating global associations rules for the remaining rules over different data parities without revealing any private data for any party. The proposed system can be used in any distributed database environment which needs to extract knowledge like hospitals, banks, telecommunication companies or any other organizations. Codice articolo 9783659874048
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Proposed System for PPDDM using Enhanced Algorithms
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ISBN 10: 3659874043
ISBN 13: 9783659874048
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Paperback. Condizione: Brand New. 152 pages. 8.66x5.91x0.35 inches. In Stock. Codice articolo 3659874043
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Proposed System for PPDDM using Enhanced Algorithms
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LAP LAMBERT Academic Publishing Apr 2016, 2016
ISBN 10: 3659874043
ISBN 13: 9783659874048
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In recent years, increased concern over personal information and privacy protection has led to the development of a number of privacy protection techniques. These techniques have been suggested to ensure that data mining can be performed while the preservation of private information protection is maintained. In this book, a new system for privacy preserving distributed data mining (PPDDM) of association rules is proposed. This proposed system works under the common and realistic assumptions that parties are semi-honest, Semi-Trusted Third Party (STTP) and the databases are horizontally distributed over these parties. The system supports two levels for privacy; one for hiding sensitive rules and another for evaluating global associations rules for the remaining rules over different data parities without revealing any private data for any party. The proposed system can be used in any distributed database environment which needs to extract knowledge like hospitals, banks, telecommunication companies or any other organizations.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 152 pp. Englisch. Codice articolo 9783659874048
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Proposed System for PPDDM using Enhanced Algorithms
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LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659874043
ISBN 13: 9783659874048
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Taschenbuch. Condizione: Neu. Proposed System for PPDDM using Enhanced Algorithms | Alaa Al-Hadithy (u. a.) | Taschenbuch | 152 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659874048 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 103805130
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Proposed System for PPDDM using Enhanced Algorithms
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ISBN 10: 3659874043
ISBN 13: 9783659874048
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paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Codice articolo ERICA82936598740436
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