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Medical Image Fusion in Curvelet Domain Employing PCA and Maximum Selection Rule Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Hash-Based Rule Mining Algorithm in Data-Intensive Homogeneous Cloud Environment

Authors : Raghvendra Kumar, Prasant Kumar Pattnaik, Yogesh Sharma

Published in: Proceedings of the Second International Conference on Computer and Communication Technologies

Publisher: Springer India

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Abstract

Today Innovative Technology is used to analyze and manipulate huge amount of data in the cloud computing environment. It is very challenging task because the privacy and security are the main issue. Because the scenario of the cloud environment is given, then the distributed database comes in the picture as well as privacy. In this paper, we used the concept of pseudo random number, and for finding the strong Association rule in the database, we used the Inverted hashing and pruning as well as distributing the database into the different number of cloud nodes, and finding the global result, we used Distributed secure sum protocol in the homogenous cloud environments, where the number of attributes will be same, the number of transactions wearies from node to node.

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previous chapter Gigabit Network Intrusion Detection System Using Extended Bloom Filter in Reconfigurable Hardware
next chapter Privacy Preservation in Distributed Environment Using RSA-CRT
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Metadata
Title
Hash-Based Rule Mining Algorithm in Data-Intensive Homogeneous Cloud Environment
Authors
Raghvendra Kumar
Prasant Kumar Pattnaik
Yogesh Sharma
Copyright Year
2016
Publisher
Springer India
Book
Proceedings of the Second International Conference on Computer and Communication Technologies

Print ISBN: 978-81-322-2516-4

Electronic ISBN: 978-81-322-2517-1

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-81-322-2517-1_3