Application of Data Mining Techniques in Enterprise Decision Support Systems

This paper delves into the application of data mining techniques in enterprise decision support systems and methods for evaluating their effectiveness. The article first provides a comprehensive theoretical framework by introducing the fundamental theories and background knowledge of data mining. It then analyzes the specific applications of data mining technology in the realm of business decision-making through various practical cases, such as market segmentation, product sales trend analysis, and customer relationship management. These cases not only demonstrate the practical utility of data mining technology but also highlight its diversity of applications in different business scenarios. The latter part of the article focuses on the evaluation framework for the effectiveness of data mining applications, showcasing the strengths and weaknesses of various data mining techniques through comparative experiments and providing a set of evaluation criteria. The article aims to combine theory and practice, offering valuable references and guidance for enterprises in the selection and optimization of data mining solutions.