Construction cost optimization technology based on decision tree CHAID algorithm

With the rapid growth of the construction engineering industry, the construction industry has made great progress, but in the process of its development, there have been many irrational growth models such as extensive growth and real estate bubbles. In addition, with the continuous advancement of the development of construction projects, the types and modes of construction projects have become more and more complex, and the importance of construction project management has become more and more prominent. This article will discuss the cost of construction projects. Make a relative cost optimization technology research, this paper adopts the decision tree CHAID algorithm to solve the cost management problem of construction projects, and proposes corresponding cost optimization technical solutions, which is conducive to the integration of China's construction industry with the international industry and the promotion of my country's industrial structure transformation. From the perspective of decision tree structure, the earliest decision tree is a multi-forked tree structure, which is it brings some trouble to interpreting the rules of the decision tree, while the decision tree CHAID algorithm generates rules that are easy to understand, easy to implement, fast, able to process data-type and general-type attributes at the same time and calculate massive data good. This paper mainly studies the design of mechanical equipment fault detection robot, proposes a series of data model analysis, and analyzes the main theories and characteristics of the electronic tracing algorithm. 3.98s, the running time of single-machine multi-threading is 3.87s, while the running time of decision tree CHAID is 3.79s, the relative acceleration is slightly higher than that of single-machine single-threaded and single-machine multi-threaded.