@inproceedings{0fdf39988c324e8eb2d1599878ae2e60,
title = "Predictive model based on decision tree combined multiple regressions",
abstract = "This paper combines a decision tree with multiple linear regressions to build a predictive model. The decision tree of the predictive model generates classification outputs, and the predictive model integrates linear multiple regressions into the decision tree to achieve numerical outputs. The temperature with seven days ahead is forecasted by using the predictive model. In order to demonstrate the effectiveness of the predictive model, we compare the predictive model with some different time series methods.",
keywords = "Decision tree, multiple linear regression, predictive model",
author = "Chen, {Jing Rong} and Lin, {Yu Heng} and Leu, {Yih Guang}",
note = "Funding Information: This work was supported by the Ministry of Science and Technology, Taiwan, under Grants MOST 105-2221-E-003-013-. Publisher Copyright: {\textcopyright} 2017 IEEE.; 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2017 ; Conference date: 29-07-2017 Through 31-07-2017",
year = "2018",
month = jun,
day = "21",
doi = "10.1109/FSKD.2017.8393049",
language = "English",
series = "ICNC-FSKD 2017 - 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1855--1858",
editor = "Liang Zhao and Lipo Wang and Guoyong Cai and Kenli Li and Yong Liu and Guoqing Xiao",
booktitle = "ICNC-FSKD 2017 - 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery",
}