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- W2357188070 abstract "In order to improve the traditional computer assisted audit method which only was computerized that the manual audit progress and found hidden information and more audit evidence in the audit data,applied an audit evidence gathering method which first used data partition and then adopted improved outlier detection to deal with the huge audit data. First,divided and optimized audit data by improved particle swarm optimization algorithm,then found the high-cohesion and low-coupling data partition. The second,used the improved outlier detection based on the distance to select outlier data. At last,gathered more audit evidence by analysis. Through the relevant comparative experiments,it shows that with this method the hidden information is easily found in the huge audit data,the efficiency of outlier detection is greatly improved,thereby the efficiency of the audit is enhanced." @default.
- W2357188070 created "2016-06-24" @default.
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- W2357188070 date "2009-01-01" @default.
- W2357188070 modified "2023-09-24" @default.
- W2357188070 title "Study on audit evidence gathering based on partition and outlier detection" @default.
- W2357188070 hasPublicationYear "2009" @default.
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