Computational Enhancements in Tree-Growing Methods
In this paper we show how to avoid unnecessary calculations and to save considerably the computational cost in a wide class of tree-based methods. So called auxiliary statistics, which enable to restrict handling the raw data, are introduced. Aside that, a fast splitting algorithm is outlined, which allows to recognize and avoid unnecessary split evaluations during the search of an optimal split. Relationships between the computational cost savings and properties of both a specific method and data are summarized.
Large-scale construction projects frequently appear which make people pay more attention to the performance evaluation.This paper established the large-scale construction projects'performance evaluation index system and carried out comprehensive evaluation of the performance with a combined model of fuzzy theory and the matter-element theory.The analytic hierarchy process and the membership function were used to determine the weights of indicator elements and the membership matter-element.Finally,the study used the performance indicator system in construction phase for a large-scale project as an example to verify the fuzzy matter-element correctness,rationality and feasibility.