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Faculties & Institutes
Faculty of Scien... [5]
Authors
FONG SIMON JAMES [3]
PUN CHI MAN [2]
Document Type
Conference paper [5]
Date Issued
2009 [5]
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英語English [5]
Source Publication
NCM 2009 - 5th I... [5]
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其他 [1]
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Reversible digital watermarking with block linking
Conference paper
Pun C.-M., Hemman N.. Reversible digital watermarking with block linking[C], 2009, 1465-1468.
Authors:
Pun C.-M.
;
Hemman N.
Favorite
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TC[Scopus]:
0
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Submit date:2019/02/14
Block Linking
Integerttransform
Reversible Digital Watermarking
A Conceptual Model for Combining Enhanced OLAP and Data Mining Systems
Conference paper
Muhammad Usman, Dr. Sohail Asghar, Simon Fong. A Conceptual Model for Combining Enhanced OLAP and Data Mining Systems, A Conceptual Model for Combining Enhanced OLAP and Data Mining Systems[C]:IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2009, 2009, 1958-1963, 1958-1963.
Authors:
Muhammad Usman
;
Dr. Sohail Asghar
;
Simon Fong
Favorite
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TC[Scopus]:
11
|
Submit date:2019/02/13
Data Mining
Enhanced Olap
Performance Enhancement
Visualization Techniques
Data Mining
Enhanced Olap
Performance Enhancement
Visualization Techniques
High capacity and robust digital image watermarking
Conference paper
Pun C.-M.. High capacity and robust digital image watermarking[C], 2009, 1457-1461.
Authors:
Pun C.-M.
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TC[Scopus]:
9
|
Submit date:2019/02/14
Digital Watermarking
Discrete Cosine Transform
High Capacity
Quantization
The Application of Trend Following Strategies in Stock Market Trading
Conference paper
Simon Fong, Jackie Tai. The Application of Trend Following Strategies in Stock Market Trading[C]:IEEE, 2009, 1971-1976.
Authors:
Simon Fong
;
Jackie Tai
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TC[Scopus]:
7
|
Submit date:2019/02/13
Stock Market
Trading Algorithm
Trend-following
A Framework of Business Intelligence-driven Data Mining for e-Business
Conference paper
Yang Hang, Simon Fong. A Framework of Business Intelligence-driven Data Mining for e-Business[C]:IEEE, 2009, 1964-1970.
Authors:
Yang Hang
;
Simon Fong
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TC[Scopus]:
14
|
Submit date:2019/02/13
Bi-driven Data Mining
Business Intelligence
Data Mining