Feature Selection in Data Discretization
碩士 === 國立中央大學 === 資訊管理學系 === 106 === In the reality, data are always not “clean” as we thought. Thus, we need to figure out and ensure data quality by data pre-processing. There are many problems that we must be solved, like high dimensional data may include irrelevant and redundant features (attrib...
Main Authors: | Yu-Chi CHEN, 陳鈺錡 |
---|---|
Other Authors: | Chih-Fong Tsai |
Format: | Others |
Language: | zh-TW |
Published: |
2018
|
Online Access: | http://ndltd.ncl.edu.tw/handle/k2kf74 |
Similar Items
-
A Cooperative Coevolutionary Approach to Discretization-Based Feature Selection for High-Dimensional Data
by: Yu Zhou, et al.
Published: (2020-06-01) -
Plug-in Bandwidth Selection for Kernel Density Estimation with Discrete Data
by: Chi-Yang Chu, et al.
Published: (2015-03-01) -
Rough fuzzy model based feature discretization in intelligent data preprocess
by: Qiong Chen, et al.
Published: (2021-01-01) -
The selection of optimal discriminant procedures for discrete data
by: Lack, Hans-Nicholas
Published: (1996) -
Modeling Discrete Survival Time Using Genomic Feature Data
by: Kyle Ferber, et al.
Published: (2015-03-01)