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- W4285307611 abstract "Intelligent decision support system is the inevitable product of the combination of real decision support system and modern artificial intelligence technology. It introduces and applies the traditional concept of mutual processing between information representation and actual knowledge in traditional artificial intelligence technology to the decision support system. It is unique one of the scientific research theoretical methods, extensive technological development and future prospects has successfully emerged, and it has become a technical hotspot and main technology development research direction of decision support system scientific research. This article aims to study the model method of intelligent decision support system based on machine learning, through the literature research method and quantitative research method to gain an in-depth understanding of the intelligent decision support system, introduce the decision tree into the intelligent decision support system, and make relevant decisions on this basis Experiments verify it. Experimental research shows that the RABDT algorithm is faster than the FP-growth algorithm. As the amount of data increases, the advantage of the algorithm is more obvious, and the calculation speed increases more. It proves the feasibility and practicability of the improved algorithm." @default.
- W4285307611 created "2022-07-14" @default.
- W4285307611 creator A5035503045 @default.
- W4285307611 date "2022-01-01" @default.
- W4285307611 modified "2023-09-26" @default.
- W4285307611 title "Model Method of Intelligent Decision Support System Based on Machine Learning" @default.
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- W4285307611 doi "https://doi.org/10.1007/978-981-16-8052-6_54" @default.
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