×
验证码:
换一张
Forgotten Password?
Stay signed in
Login With UMPASS
English
|
繁體
Login With UMPASS
Log In
ALL
ORCID
TI
AU
PY
SU
KW
TY
JN
DA
IN
PB
FP
ST
SM
Study Hall
Image search
Paste the image URL
Home
Faculties & Institutes
Scholars
Publications
Subjects
Statistics
News
Search in the results
Faculties & Institutes
Faculty of Scien... [4]
Faculty of Socia... [1]
Authors
FONG SIMON JAMES [3]
LIU ZHI [1]
CHEUNG SHU FAI [1]
Document Type
Journal article [3]
Conference paper [2]
Date Issued
2021 [1]
2019 [1]
2017 [1]
2016 [1]
2015 [1]
Language
英語English [5]
Source Publication
Communications i... [1]
Computational St... [1]
International Jo... [1]
Lecture Notes in... [1]
STATISTICS & PRO... [1]
Indexed By
SCIE [3]
CPCI-S [2]
Funding Organization
Funding Project
×
Knowledge Map
UM
Start a Submission
Submissions
Unclaimed
Claimed
Attach Fulltext
Bookmarks
Browse/Search Results:
1-5 of 5
Help
Selected(
0
)
Clear
Items/Page:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
Sort:
Select
Submit date Ascending
Submit date Descending
Issue Date Ascending
Issue Date Descending
Author Ascending
Author Descending
Title Ascending
Title Descending
Journal Impact Factor Ascending
Journal Impact Factor Descending
WOS Cited Times Ascending
WOS Cited Times Descending
A Graph Mining Approach for Ranking and Discovering the Interesting Frequent Subgraph Patterns
Journal article
Ur Rehman, Saif, Liu, Kexing, Ali, Tariq, Nawaz, Asif, Fong, Simon James. A Graph Mining Approach for Ranking and Discovering the Interesting Frequent Subgraph Patterns[J]. International Journal of Computational Intelligence Systems, 2021, 14(1).
Authors:
Ur Rehman, Saif
;
Liu, Kexing
;
Ali, Tariq
;
Nawaz, Asif
;
Fong, Simon James
Favorite
|
TC[WOS]:
3
TC[Scopus]:
5
IF:
2.5
/
2.2
|
Submit date:2021/12/08
Graph Data
Social Network
Graph Mining
Transactional Graphs
Frequent Subgraph Patterns
Ranking
Does the Order of Attributes Play an Important Role in Classification?
Conference paper
Tallón-Ballesteros, Antonio J., Fong, Simon, Leal-Díaz, Rocío. Does the Order of Attributes Play an Important Role in Classification?[C], 2019, 370-380.
Authors:
Tallón-Ballesteros, Antonio J.
;
Fong, Simon
;
Leal-Díaz, Rocío
Favorite
|
TC[WOS]:
0
TC[Scopus]:
1
|
Submit date:2022/05/23
Data Mining
Data Preparation
Feature Ranking
Feature Selection
Feature Sorting
Knowledge Discovery In Databases
Model free feature screening with dependent variable in ultrahigh dimensional binary classification
Journal article
Lai, Peng, Song, Fengli, Chen, Kaiwen, Liu, Zhi. Model free feature screening with dependent variable in ultrahigh dimensional binary classification[J]. STATISTICS & PROBABILITY LETTERS, 2017, 125, 141-148.
Authors:
Lai, Peng
;
Song, Fengli
;
Chen, Kaiwen
;
Liu, Zhi
Favorite
|
TC[WOS]:
7
TC[Scopus]:
7
IF:
0.9
/
0.8
|
Submit date:2018/10/30
Discriminant Analysis
Ultrahigh Dimensional Data
Feature Screening
Sure Screening Property
Ranking Consistency Property
Logit tree models for discrete choice data with application to advice-seeking preferences among Chinese Christians
Journal article
Yu, P. L. H., Lee, P. H., Cheung, S. F., Lau, E. Y. Y., Mok, S. Y., Hui, C. H.. Logit tree models for discrete choice data with application to advice-seeking preferences among Chinese Christians[J]. Computational Statistics, 2016, 31, 799-827.
Authors:
Yu, P. L. H.
;
Lee, P. H.
;
Cheung, S. F.
;
Lau, E. Y. Y.
;
Mok, S. Y.
; et al.
Favorite
|
TC[WOS]:
7
TC[Scopus]:
8
IF:
1.0
/
1.3
|
Submit date:2022/05/04
Binary Data
Decision Tree
Multinomial Data
Ranking Data
Variable Selection
Finding significant factors on world ranking of e-governments by feature selection methods over KPIs
Conference paper
Simon Fong, Yan Zhuang, Huilong Luo, Kexing Liu, Gia Kim. Finding significant factors on world ranking of e-governments by feature selection methods over KPIs[C]:SPRINGER-VERLAG BERLIN, HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY, 2015, 65-73.
Authors:
Simon Fong
;
Yan Zhuang
;
Huilong Luo
;
Kexing Liu
;
Gia Kim
Favorite
|
TC[WOS]:
1
TC[Scopus]:
2
|
Submit date:2019/02/13
E-government
Ranking
Analytics
Feature Selection
Data Mining
Principle Of Component Analysis