A Scalable Approach To Detect A Duplicate Data Using PSNM And PB Algorithm
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 5
Abstract
Now a day if we consider a data set we can find more duplicate data. Determining the redundant data in the data server is an open research in the data intensive application. The traditional method detects the duplicate for large dataset takes a large amount of time to produce the result. I proposed an algorithm (PSNM and PB) such that they maximize the gain of the overall process within the time available by reporting most results much earlier than traditional approaches. The contribution of the work gets improved by implementing both the algorithms in parallel process to effectively compute the duplication record in efficient time. The algorithm dynamically adjusts their behavior by automatically choosing optimal parameters, e.g., window sizes, block sizes, and sorting keys. The Experimental results prove that proposed system outperforms the state of arts approaches accuracy and efficiency.
Authors and Affiliations
P. Padmavathi, Mr. S. Dhanasekaran, Mr. A. Arockia Selvaraj
Keywords
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