Articles liés à Proposed System for PPDDM using Enhanced Algorithms

Proposed System for PPDDM using Enhanced Algorithms - Couverture souple

Al-Hadithy, Alaa; Al-janabi, Sufyan; Abedalkader, Nazar

 
9783659874048: Proposed System for PPDDM using Enhanced Algorithms
Couverture souple
ISBN 10 : 3659874043 ISBN 13 : 9783659874048
Editeur : LAP LAMBERT Academic Publishing, 2016

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

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.

Biographie de l'auteur

Dr. 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 Region of Iraq-Iraq in 2013. He works now as a Head of DB Technology Department, Technical College of Informatics, SPU University.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2016
Langue
anglais
ISBN 10 
3659874043
ISBN 13 
9783659874048
Reliure
Broché
Nombre de pages
152
Coordonnées du fabricant
non disponible
Personne responsable
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