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- W2352337897 abstract "Hybrid Machine Learning(HML) is the latest applying in the field of intelligent iformation process.It combines the induced learning based-on decision-making tree with the blocking neural network.And it provides a useful intelligent knowledge-based data mining technique.Its core arithmetic is ID3 and FTART.The article introduced the principals of hybrid machine learning firstly,and then applied it into analyzing store choice preference and their influencing factors systematically.Finally,the author compared the results from HML with those from the traditional statistic methods.The conclusion is that HML is more friendly and easily to be understood than the traditional methods." @default.
- W2352337897 created "2016-06-24" @default.
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- W2352337897 date "2006-01-01" @default.
- W2352337897 modified "2023-09-23" @default.
- W2352337897 title "The Study on Applying Hybrid Machine Learning into Store Choice Preference" @default.
- W2352337897 hasPublicationYear "2006" @default.
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