Skip to content
RDL
Network
Ekosistem
Uygulama değiştir
EN
Hakkımızda
SSS
Giriş yap
Başla
Data Structure Identification of Dataset with Missing Values: A Perspective from Granular Computing — Yinghua Shen (2024) | RDL Network
Back
Cite
Save
Save for later
Share
Home
Publications
Data Structure Identification of Dataset with Missing Values: A Perspective from Granular Computing
Shared by
Witold Pedrycz
University of Alberta
Data Structure Identification of Dataset with Missing Values: A Perspective from Granular Computing
Chapter In A Book
2024
en
Authors
+3 more
YS
Yinghua Shen
DZ
Dan Zhao
XH
Xingchen Hu
Discussion
(0)
Sign in
to like and join the discussion.
No comments yet. Be the first to comment.
Related publications
Article
2024
Structure identification of missing data: a perspective from granular computing
Yinghua Shen
,
Dan Zhao
,
Xingchen Hu
,
Witold Pedrycz
,
Yuan Chen
,
Jiliang Li
,
Zhi Xiao
Article
2016
Granular data imputation: A framework of Granular Computing
Chunfu Zhong
,
Witold Pedrycz
,
Dan Wang
,
Lina Li
,
Zhiwu Li
Book
2021
Interpretable Artificial Intelligence: A Perspective of Granular Computing
Witold Pedrycz
,
Shyi‐Ming Chen
Chapter in a book
2019
Managing Missing Values in Intuitionistic Reciprocal Preference Relations: From Numeric Procedures to Granular
Francisco Javier Cabrerizo
,
Juan Antonio Morente-Molinera
,
Sergio Alonso
,
Witold Pedrycz
,
Enrique Herrera‐Viedma
Article
2015
Modeling with linguistic entities and linguistic descriptors: a perspective of granular computing
Witold Pedrycz
,
Rami Al‐Hmouz
,
Abdullah Balamash
,
Ali Morfeq
Discussion(0)
No comments yet. Be the first to comment.