@inproceedings{2abb5fe70358418abbbf25eff7648af7,
title = "Limited tolerance relation-based decision tree algorithm",
abstract = "In this research, we study how to generate a decision tree from dataset with unknown values, and proposed a decision tree learning algorithm (LTR-C4.5). The algorithm based on limited tolerance relation and C4.5. Algorithm LTRC4.5 is composed by two function modules: filling the unknown values and generating a decision tree. The algorithm recursive calls the two function modules when handling incomplete training samples. The outstanding feature of LTRC4.5 is that it doesn't demand to fill all unknown values before generating a decision tree. Some experiments are used to simulation the algorithm and compared it to other methods.",
keywords = "Decision tree, Limited tolerance relation, LTR-C4.5, Missing values",
author = "Wang, \{Ting Liang\} and Li Wang and Xia, \{Guo Ping\} and Xu, \{Ying Cheng\}",
year = "2009",
doi = "10.1109/FSKD.2009.211",
language = "英语",
isbn = "9780769537351",
series = "6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009",
pages = "221--226",
booktitle = "6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009",
note = "6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009 ; Conference date: 14-08-2009 Through 16-08-2009",
}