A Strategy of Constructing Heterogeneous Cost-sensitive Decision Tree
- https://doi.org/10.2991/iccia.2012.437How to use a DOI?
- Decision-tree Learning, Cost-sensitive Decision tree ,Heterogeneous Cost-sencitive.
Usually, the algorithm of constructing cost-sensitive decision tree assume that all types of cost can be converted into a unified units of the same price, apparently how to construct an cost conversion function is an challenge. In this paper, a strategy of constructing heterogeneous cost-sensitive decision tree is designed and the different cost are take into account together in split attribute selection. What’s more, an attribute selection model based on heterogeneous cost-sensitive is constructed and the pruning strategy based on cost-sencitive is designed. The experimental results show that the proposed method is correct and more efficient than the present other methods
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Dingrong Yuan AU - Xiaomeng Huang AU - Qiaoling Duan AU - Huiwen Fu PY - 2014/05 DA - 2014/05 TI - A Strategy of Constructing Heterogeneous Cost-sensitive Decision Tree BT - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012) PB - Atlantis Press SP - 1745 EP - 1748 SN - 1951-6851 UR - https://doi.org/10.2991/iccia.2012.437 DO - https://doi.org/10.2991/iccia.2012.437 ID - Yuan2014/05 ER -