A Model for Missing Value Processing in Database with Self-Organizing Map
碩士 === 國立臺灣科技大學 === 電子工程系 === 90 === In this thesis, we propose a method that uses Self-Organizing Feature Map and Fuzzy Set Theory to process the data with missing value problem in database. In real world, the data we collected are not complete, and have the problem of missing value. If we analyze...
Main Authors: | Yu-Hsiang Chiu, 邱鈺翔 |
---|---|
Other Authors: | Chen-Chau Yang |
Format: | Others |
Language: | zh-TW |
Published: |
2002
|
Online Access: | http://ndltd.ncl.edu.tw/handle/66744883922564150909 |
Similar Items
-
A GA-based Clustering Technique for Missing Value Processing in Large Databases
by: 游裕昌
Published: (2004) -
Missing value imputation for epistatic MAPs
by: Cagney Gerard, et al.
Published: (2010-04-01) -
Reduction of Conflict Misses with a Page Re-Mapping Mechanism
by: CHUNG, CHIA-HSIANG, et al.
Published: (2017) -
Integrating Automatic Clustering and Weighted Grey Relational Technique for Missing Value Processing in Large Databases
by: yung-sheng shen, et al.
Published: (2005) -
The european St-T database self-organizing mapping for detection of ischemia
by: Vladutu, Liviu - Mihai
Published: (2010)