A Heuristic Attribute-Reduction Algorithm Based on Conditional Entropy for Incomplete Information Systems
With the continuous expansion of databases, the extraction of information has been an urgent research topic in many fields. As an effective method to remove redundant attributes, attribute reduction demonstrates extraordinary ability in simplifying information systems. This paper applies a novel for...
Saved in:
| Main Authors: | Yanling Bao, Shumin Cheng |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-10-01
|
| Series: | Axioms |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-1680/13/11/736 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Soft discernibility matrix and attribute reduction for information systems
by: YAN De-qin1, et al.
Published: (2009-01-01) -
A Recursive Attribute Reduction Algorithm and Its Application in Predicting the Hot Metal Silicon Content in Blast Furnaces
by: Zhanqi Li, et al.
Published: (2025-01-01) -
Multi-level uncertain fatigue analysis of a truss under incomplete available information
by: R. B. P. Nonato
Published: (2023-10-01) -
Novel Ensemble Approach with Incremental Information Level and Improved Evidence Theory for Attribute Reduction
by: Peng Yu, et al.
Published: (2025-01-01) -
Exploration of Algorithms and Heuristics in Puzzle Playing Activities of Early Childhood
by: Selvia Dwi Lusiana, et al.
Published: (2024-10-01)