Feature bundling in decision tree algorithm-Reference-Cited by-同舟云学术

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Feature bundling in decision tree algorithm

Published:2017-03-02 Issue:2 Volume:21 Page:371-383
ISSN:1088-467X
Container-title:Intelligent Data Analysis
language:
Short-container-title:IDA

Author:

Zhuang Xu¹,Zhu Yan¹,Chang Chin-Chen²³,Peng Qiang¹

Affiliation:

1. School of Information Science and Technology, Southwest Jiaotong University, Chengdu, Sichuan, China

2. Department of Information Engineering and Computer Science, Feng Chia University, Taichung City 40724, Taiwan

3. Department of Computer Science and Information Engineering, Asia University, Taichung 41354, Taiwan

Publisher

IOS Press

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Theoretical Computer Science

Reference19 articles.

1. Feature transformation methods in data mining;Kusiak;IEEE Transactions on Electronics Packaging Manufacturing,2001

2. Ntoulas A., Najork M., Manasse M. and Fetterly D., Detecting spam web pages through content analysis, in: Proceedings of the World Wide Web Conference, Scotland (2006), 83-92.

3. A reference collection for web spam;Castillo;SIGIR Forum,2006

4. Castillo C., Chellapilla K. and Denoyer L., Web spam challenge 2008, in: Proceedings of the 4th International Workshop on Adversary Information Retrieval on the Web (AIRWeb) (2008).

5. Matheus C., The need for constructive induction, in: Machine Learning - Proceedings of the Eighth International Workshop (1991), 173-177.

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3. A feature-centric spam email detection model using diverse supervised machine learning algorithms;The Electronic Library;2020-07-04

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