Mining incomplete data with lost values and attribute-concept values
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/6968714/6982790/06982806.pdf?arnumber=6982806
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Rough Support Vector Machine for Classification with Interval and Incomplete Data;Journal of Artificial Intelligence and Soft Computing Research;2019-12-11
2. Scene-Based Big Data Quality Management Framework;Communications in Computer and Information Science;2018
3. Complexity of Rule Sets Induced from Data Sets with Many Lost and Attribute-Concept Values;Artificial Intelligence and Soft Computing;2016
4. A comparison of two MLEM2 rule induction algorithms extended to probabilistic approximations;Journal of Intelligent Information Systems;2015-09-22
5. Mining Incomplete Data with Many Lost and Attribute-Concept Values;Rough Sets and Knowledge Technology;2015
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