Research on Complex Business Scene Intelligent Decision System Integrating Artificial Intelligence and Data Mining Technology -- Taking e-commerce cross-border trade platform as an example
Abstract
evolving from a single static problem to a complex system problem with multiple coupling and rapid change. Traditional decision-making
methods usually rely on static rules or empirical models, which cannot make an optimal response in the environment of highly uncertain
information and real-time data flow. At the same time, the rapid development of artificial intelligence technology and data mining technology provides technical support for the construction of new intelligent decision-making systems. Taking the cross-border e-commerce trade
platform as an example, this paper proposes an intelligent decision-making system architecture for complex business scenarios based on the
three-layer interaction of data-knowledge-decision, which integrates the key links of multi-source heterogeneous data processing, feature
deep extraction, model integration and interpretability enhancement. It is expected to improve the intelligent decision-making ability, dynamic
adaptability and continuous evolution ability of the e-commerce cross-border trade platform.
Keywords
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DOI: http://dx.doi.org/10.70711/aitr.v2i10.7143
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