2017
DOI: 10.17485/ijst/2017/v10i26/115715
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Modified Data Duplication Algorithm to Minimizethe Redudancy of Data in Medical Database

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Cited by 1 publication
(6 citation statements)
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“…Table 1 represents the simulation result of Efficient Hash Function–based Duplication Detection (EHFDD) algorithm along with many existing approaches in tabular format. The Table 1 result also represents the comparison with various existing methods, namely, as IA‐SNM (Increment Adaptive‐Sorted Neighborhood Method), 19 AA‐SNM (Accumulative Adaptive Sorted Neighborhood Method), 19 and MSW (Modified Sliding and Windowing) 19 . These parameters like success rate (%), Average Delay (ms), Memory utilization (ms), computation time (ms), and communication overhead (ms) values are taken from many research articles.…”
Section: Resultsmentioning
confidence: 99%
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“…Table 1 represents the simulation result of Efficient Hash Function–based Duplication Detection (EHFDD) algorithm along with many existing approaches in tabular format. The Table 1 result also represents the comparison with various existing methods, namely, as IA‐SNM (Increment Adaptive‐Sorted Neighborhood Method), 19 AA‐SNM (Accumulative Adaptive Sorted Neighborhood Method), 19 and MSW (Modified Sliding and Windowing) 19 . These parameters like success rate (%), Average Delay (ms), Memory utilization (ms), computation time (ms), and communication overhead (ms) values are taken from many research articles.…”
Section: Resultsmentioning
confidence: 99%
“…Based on Figures 2 to 4, proposed Efficient Hash Function–based Duplication Detection (EHFDD) algorithm is evaluated on success rate (SR), average delay (AD), memory utilization (MU), computation time (CT), and communication overhead (CO) for document database. Here, proposed EHFDD algorithm is evaluated with IA‐SNM (Increment Adaptive‐Sorted Neighborhood Method), 19 AA‐SNM (Accumulative Adaptive Sorted Neighborhood Method), 19 and MSW (Modified Sliding and Windowing) 19 existing methods, where MSW is the closest technique to proposed EHFDD algorithms. MSW 19 verifies records, which are segregated, based on available data.…”
Section: Resultsmentioning
confidence: 99%
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