Utilizing Data Analytics to Analyze Online Purchase Behavior
نویسندگان
چکیده
The emergence of data analytics has fundamentally transformed supply chain management strategies in the global marketplace during past decade. Classification is one most popular methods and receives a great deal attention literature, but there are still some questions concerning performance characteristics different classification methods. This paper analyzes three methods: trees, k-nearest neighbors, artificial neural networks to determine if any gaps between A series experiments conducted utilizing Analytic Solver Data Mining (formerly XLMiner) add-in Microsoft Excel an effort address these issues. analysis reveals that may be minor gaps, all perform well context this study.
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ژورنال
عنوان ژورنال: International Journal of Supply Chain Management
سال: 2023
ISSN: ['2050-7399', '2051-3771']
DOI: https://doi.org/10.59160/ijscm.v12.i01.6164