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FONG SIMON JAME... [29]
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Optimized and frequent subgraphs: How are they related?
Journal article
SAIF UR REHMAN, SOHAIL ASGHAR, SIMON JAMES FONG. Optimized and frequent subgraphs: How are they related?[J]. IEEE Access, 2018, 6, 37237-37249.
Authors:
SAIF UR REHMAN
;
SOHAIL ASGHAR
;
SIMON JAMES FONG
Favorite
|
TC[WOS]:
10
TC[Scopus]:
10
IF:
3.4
/
3.7
|
Submit date:2019/02/13
Data Mining
Graph Pattern Mining
Social Network Analysis
Frequent Subgraph Patterns
Optimized Graph Patterns
An efficient ranking scheme for frequent subgraph patterns
Conference paper
Saif Ur Rehman, Sohail Asghar, Simon Fong. An efficient ranking scheme for frequent subgraph patterns[C]:ASSOC COMPUTING MACHINERY, 1515 BROADWAY, NEW YORK, NY 10036-9998 USA, 2018, 257-262.
Authors:
Saif Ur Rehman
;
Sohail Asghar
;
Simon Fong
Favorite
|
TC[WOS]:
4
TC[Scopus]:
4
|
Submit date:2019/02/13
Graph Mining
Frequent Subgraphs
Apriori-based Fsm
Pattern-growth Based Fsm
High level classification recommended decision making for Autonomous Ground Vehicle (AGV)
Journal article
Rehman, Naeem Ur, Asghar, Sohail, Usman, Muhammad, Fong, Simon, Cho, Kyungeun, Park, Yong Woon. High level classification recommended decision making for Autonomous Ground Vehicle (AGV)[J]. Journal of Computational and Theoretical Nanoscience, 2016, 13(7), 4284-4292.
Authors:
Rehman, Naeem Ur
;
Asghar, Sohail
;
Usman, Muhammad
;
Fong, Simon
;
Cho, Kyungeun
; et al.
Favorite
|
TC[Scopus]:
1
IF:
1.666
/
1.109
|
Submit date:2019/02/13
Autonomous Ground Vehicle
Classification
Fusion
Fuzzy Rules
Kalman Filter
A Comparative Analysis of Pruning Methods for C4.5 and Fuzzy C4.5
Conference paper
Tayyeba Naseer, Sohail Asghar, Yan Zhuang, Simon Fong. A Comparative Analysis of Pruning Methods for C4.5 and Fuzzy C4.5[C]:IOS PRESS, NIEUWE HEMWEG 6B, 1013 BG AMSTERDAM, NETHERLANDS, 2015, 304-312.
Authors:
Tayyeba Naseer
;
Sohail Asghar
;
Yan Zhuang
;
Simon Fong
Favorite
|
TC[WOS]:
1
TC[Scopus]:
1
|
Submit date:2019/02/13
Classification
C4.5
Fuzzy C4.5
Data Mining
Hidden Markov Model based Character Segmentation Factor Applied to Urdu script
Conference paper
Shahid Abid, Sohail Asghar, Yan Zhuang, Simon Fong. Hidden Markov Model based Character Segmentation Factor Applied to Urdu script[C]:IOS PRESS, NIEUWE HEMWEG 6B, 1013 BG AMSTERDAM, NETHERLANDS, 2015, 39-51.
Authors:
Shahid Abid
;
Sohail Asghar
;
Yan Zhuang
;
Simon Fong
Favorite
|
TC[WOS]:
1
TC[Scopus]:
1
|
Submit date:2019/02/13
Optical Character Recognition (Ocr)
Document Image Processing
Hidden Markov Model (Hmm)
Segmentation Of Cursive Characters
A data modification technique in PPDM based on ant colony optimization approach
Conference paper
Muhammad Zubair Hasan Ansari, Sohail Asghar, Yan Zhuang, Simon Fong. A data modification technique in PPDM based on ant colony optimization approach[C]:IOS PRESS, NIEUWE HEMWEG 6B, 1013 BG AMSTERDAM, NETHERLANDS, 2015, 139-149.
Authors:
Muhammad Zubair Hasan Ansari
;
Sohail Asghar
;
Yan Zhuang
;
Simon Fong
Favorite
|
TC[WOS]:
1
TC[Scopus]:
1
|
Submit date:2019/02/13
Aco
Ant Colony Optimization
Ppdm
Privacy Preserving Data Mining
Performance Evaluation of Frequent Subgraph Discovery Techniques
Journal article
Rehman, Saif Ur, Asghar, Sohail, Zhuang, Yan, Fong, Simon. Performance Evaluation of Frequent Subgraph Discovery Techniques[J]. Mathematical Problems in Engineering, 2014, 2014.
Authors:
Rehman, Saif Ur
;
Asghar, Sohail
;
Zhuang, Yan
;
Fong, Simon
Favorite
|
TC[WOS]:
10
TC[Scopus]:
12
IF:
1.430
/
1.393
|
Submit date:2019/05/15
Welcome message from the editors
Conference paper
Simon Fong, Pit Pichappan, Sabah M.A. Mohammed, Patrick Hung, Sohail Asghar. Welcome message from the editors[C]. IEEE Computer Society, 2012.
Authors:
Simon Fong
;
Pit Pichappan
;
Sabah M.A. Mohammed
;
Patrick Hung
;
Sohail Asghar
Favorite
|
TC[Scopus]:
0
|
Submit date:2018/11/06
Bayesian Based Subgroup Discovery
Conference paper
Talha Anwar, Sohail Asghar, Simon Fong. Bayesian Based Subgroup Discovery[C]:IEEE, 2011, 154-161.
Authors:
Talha Anwar
;
Sohail Asghar
;
Simon Fong
Favorite
|
TC[Scopus]:
1
|
Submit date:2019/02/13
Bayesian Networks
Subgroup Discovery
A PPDM Model Using Bayesian Network for Hiding Sensitive XML Association Rules
Conference paper
Khalid Iqbal, Sohail Asghar, Simon Fong. A PPDM Model Using Bayesian Network for Hiding Sensitive XML Association Rules[C]:IEEE, 2011, 30-35.
Authors:
Khalid Iqbal
;
Sohail Asghar
;
Simon Fong
Favorite
|
TC[Scopus]:
3
|
Submit date:2019/02/13
Association Rule
Bayesian Network
K2 Algorithm
Ppdm Model