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Audit Opinion Prediction: A Comparison of Data Mining Techniques
Ali Saeedi
Business
Research output
:
Contribution to journal
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Article
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peer-review
5
Scopus citations
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Dive into the research topics of 'Audit Opinion Prediction: A Comparison of Data Mining Techniques'. Together they form a unique fingerprint.
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Keyphrases
High Performance
100%
Data Mining Techniques
100%
Audit Opinion Prediction
100%
Audit Opinion
100%
Decision Tree
50%
Prediction Accuracy
50%
Prediction Model
50%
Type II Error
50%
Accuracy Rate
50%
Support Vector Machine
50%
New York Stock Exchange
50%
Tree Support
50%
Use Decisions
50%
Support Vector Machine Model
50%
US Companies
50%
Financial Statements
50%
NASDAQ
50%
RBF Kernel
50%
Stock Exchange
50%
Non-financial Variables
50%
Going Concern Modification
50%
K-nearest
50%
Computer Science
Data Mining Technique
100%
Support Vector Machine
100%
Decision Trees
50%
Radial Basis Function
50%
Prediction Accuracy
50%
Prediction Model
50%
Rough Set
50%
Financial Statement
50%
New York Stock Exchange
50%
Economics, Econometrics and Finance
Auditor's Report
100%
Stock Exchange
66%
Going Concern
33%
Financial Statement
33%