Artículo: AMZ-B0G5FS8D89

Privacy Preserving in Association Rule Mining on Horizontally Partitioned Database

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0.84 kg
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Sobre este producto
  • The advances of data mining techniques played an important role in many areas for various applications. In context of privacy and security issues, the problems caused by association rule mining technique are recently investigated. It is proved that the misuse of this technique may disclose the database owner’s sensitive information to others, which database owners do not want. Many of the researchers in this area have recently made an effort to preserve privacy for sensitive knowledge in statistical database. In this book, I provide the detailed information about the various techniques and algorithms used for preserving private data of the users. The reason to use Distributed Database is due to constant growing databases and BIGDATA which cannot be efficiently handled by Centralized Database. I also provide the detailed description of EMHS Algorithm for Horizontally Partitioned Database. I have tried to implement and improve its efficiency by using Elliptic Curve Cryptography. I have used ElGamal Cryptography technique of ECC to improve an efficiency of the EMHS algorithm. The results clearly show an improvement in efficiency in terms of Computation Time EMHS algorithm.

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