Abstract With the continuous acceleration of urbanization, urban rainwater management has become an increasingly important issue. In urbanization, the increase in impervious areas and insufficient drainage systems have led to an increase in rainwater runoff and a risk of water quality deterioration. This article explores the application of multiobjective optimization in landscape urban rainwater design and defence. Against the backdrop of... With the continuous acceleration of urbanization, urban rainwater management has become an increasingly important issue. In urbanization, the increase in impervious areas and insufficient drainage systems have led to an increase in rainwater runoff and a risk of water quality deterioration. This article explores the application of multiobjective optimization in landscape urban rainwater design and defence. Against the backdrop of accelerating urbanization, rainwater management has become an important issue. By introducing multi-objective optimization methods, the aim is to seek a more comprehensive and effective rainwater design solution to address the impact of urbanization on rainwater. Read More Read Less

Abstract This article introduces a badminton physical fitness specialized training analysis model based on an association rule algorithm. This model identifies the strengths and weaknesses of athletes during the training process by preprocessing their training data, mining association rules, and analyzing the results. At the same time, the model can also provide targeted training suggestions and guidance based on individual differences... This article introduces a badminton physical fitness specialized training analysis model based on an association rule algorithm. This model identifies the strengths and weaknesses of athletes during the training process by preprocessing their training data, mining association rules, and analyzing the results. At the same time, the model can also provide targeted training suggestions and guidance based on individual differences and training needs of athletes. Then, this article takes a badminton player as an example and uses the model to analyze their physical fitnessspecific training data. By mining association rules, it was found that the athlete had some shortcomings during the training process, such as a large room for improvement in speed and endurance. In response to these issues, the model provides corresponding training suggestions and guidance, supporting the player to improve their physical fitness level further. Read More Read Less

Abstract With the rapid development of information technology and big data, the methods of talent cultivation are also gradually changing. To improve the quality and efficiency of talent cultivation, we propose an immersive talent cultivation experimental platform based on data mining algorithms. The platform first collects various data on students, including learning behavior, grades, personality traits, etc. Then, we used data... With the rapid development of information technology and big data, the methods of talent cultivation are also gradually changing. To improve the quality and efficiency of talent cultivation, we propose an immersive talent cultivation experimental platform based on data mining algorithms. The platform first collects various data on students, including learning behavior, grades, personality traits, etc. Then, we used data mining algorithms to conduct in-depth analysis and mining these data. Specifically, we used clustering algorithms to classify students’ learning behaviors, association rule mining algorithms to discover the relationship between students’ grades and personality traits, and decision tree algorithms to predict students’ academic performance. Through the application of these algorithms, we can better understand students’ learning status and needs, and provide them with more personalized and accurate teaching services. At the same time, the platform also has immersive educational features, providing students with a more realistic and vivid learning experience through technologies such as virtual reality (VR) and augmented reality (AR). Students can conduct various experimental operations through the platform, deepening their understanding of knowledge points and enhancing their practical ability and innovative thinking. Read More Read Less