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Application And Integration Of Stochastic Mathematical Decision Tree Modeling Algorithm In Higher Vocational Mathematics Training Intelligent Platform by International Journal Of Science And Engineering Applications
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1Application And Integration Of Stochastic Mathematical Decision Tree Modeling Algorithm In Higher Vocational Mathematics Training Intelligent Platform
By International Journal of Science and Engineering Applications
The classical decision tree algorithm in the data mining algorithm is analyzed and studied, the generation principle and steps of the decision tree algorithm are described, and the advantages and disadvantages of the commonly used decision tree algorithms ID3, C4.5 and C5.0 algorithms are analyzed. The strategy of deep integration of information technology in higher vocational mathematics teaching is explored. Deep integration of information technology and mathematical modeling in higher vocational mathematics teaching, optimizing teaching content and teaching mode, constructing perfect curriculum resources, improving teaching efficiency, and stimulating learning interest.
“Application And Integration Of Stochastic Mathematical Decision Tree Modeling Algorithm In Higher Vocational Mathematics Training Intelligent Platform” Metadata:
- Title: ➤ Application And Integration Of Stochastic Mathematical Decision Tree Modeling Algorithm In Higher Vocational Mathematics Training Intelligent Platform
- Author: ➤ International Journal of Science and Engineering Applications
“Application And Integration Of Stochastic Mathematical Decision Tree Modeling Algorithm In Higher Vocational Mathematics Training Intelligent Platform” Subjects and Themes:
- Subjects: ➤ Stochastic Mathematical Decision - Decision Tree Modeling - Higher Vocational Mathematics - Training Intelligent Platform
Edition Identifiers:
- Internet Archive ID: ijsea-12091013
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The book is available for download in "texts" format, the size of the file-s is: 3.83 Mbs, the file-s for this book were downloaded 26 times, the file-s went public at Thu Sep 21 2023.
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