Investigation on Multi-objective Optimization of Construction Engineering Based on Data Mining Association Rule Algorithm

In recent years, with the rapid development of computer technology, people have put forward higher requirements for data mining tools and methods. This paper mainly studied multi-objective optimization problems in the field of construction engineering. By establishing models, information such as building structures and buildings was modeled and processed, and influencing factors were analyzed and predicted. After being quantified, the examples were used to illustrate the application effect, and the model was optimized. The test results showed that the data processing efficiency of the multi-objective optimization model for construction engineering based on the data mining association rule algorithm was around 74% to 77% before optimization, and the data processing efficiency after optimization was between 80% to 90%. At the same time, appropriate index parameter values were selected based on the actual situation to maximize the synergy between engineering projects and optimize economic benefits, thereby achieving the goal of improving construction efficiency and quality.