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©Copyright
2006 H. Yang
All rights reserved.
Last update:
1/24/2008
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Publications
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An Effective Approach for Identifying Evolving Three-dimensiona Structural Motifs in Protein Folding Data, Hui Yang and Lin Han
The Fourth International Conference on Advanced Data Mining And Applications (ADMA 2008) |
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XMAS: An Experiential Approach for Visualization, Analysis, and Exploration of Time Series Microarray Data, Ben Dalziel, Hui Yang, Rahul Singh, Matthew Gormley and Susan J. Fisher
Bioinformatics Research and Development (BIRD) 2008 |
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An online survey to assess nutrition practioners' training needs in nutritional genomics(poster) , Sharonda Wallace,Patricia Wakimoto, Hui Yang, Raymond Rodriguez
The Second Bruce Ames International Symposium on Nutrional Genomics, October, 2007 |
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Development of an on-line survey to assess training needs in nutritional
genomics (Page 53), Sharonda Wallace, Patricia Wakimoto, Hui Yang, and Ray Rodriguez,
Experimental Biology Annual Meeting 2007 |
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A spatio-temporal mining approach towards summarizing and analyzing protein folding
trajectories, Hui Yang, Srinivasan
Parthasarathy, and Duygu Ucar, Journal of Algorithms for Molecular
Biology 2007, 2:3 |
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Patterns in Spatio-temporal Data,
Hui
Yang and Srinivasan Parthasarathy, Encyclopedia of Geographical Sciences
(Book Chapter), 2007 |
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Protein Folding Trajectories Analysis: Summarization , Folding Events Detection and Common Partial Folding Pathway Identification,
Hui Yang, Srinivasan Parthasarathy and Duygu Ucar;
in proceedings of BIOKDD 2006, Philadelphia
( BIOKDD2006 Proceedings)
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A
Generalized Framework for Mining Spatio-temporal Patterns in Scientific
Data,
Hui
Yang, Srinivasan Parthasarathy, and Sameep Mehta,
in Proceedings of SIGKDD 2005,
Chicago (Acceptance
rate = 22%)
( pdf,
slides) |
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Towards
Association-based Spatio-temporal Reasoning,
Hui
Yang, Srinivasan Parthasarathy, and Sameep Mehta,
inProceedings
of the 19th
International Joint Conference of Artificial Intelligence (IJCAI)
Workshop on Spatio-temporal Reasoning, Edinburgh, Scotland
(pdf,
slides) |
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Mining
Spatial Object Patterns in Scientific Data, Hui
Yang, Srinivasan Parthasarathy, and Sameep Mehta,
in
Proceedings of the 19th International Joint Conference of Artificial
Intelligence (IJCAI) 2005, Edinburgh, Scotland
(Acceptance
rate =18%) (pdf,
slides) |
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Towards Unsupervised
Correlation Preserving Discretization, Sameep Mehta,
Srinivasan Parthasarathy,
and Hui
Yang, in
IEEE Transactions on Knowledge and Data Engineering, Vol. 17, No. 8,
August 2005
(pdf) |
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Dynamic
Classification of Defect Structures in Molecular Dynamics Simulation Data,
Sameep
Mehta, Steve Barr, Alex Choy, Hui
Yang,
Srinivasan Parthasarathy, Raghu Machiraju and John Wilkins,
in
Proceedings of SIAM on Data Mining, 2005
,
Newport Beach, California (Acceptance rate = 18%) (pdf) |
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Dynamic
Detection, Visualization and Classification of Anomalous Structures in
Molecular Dynamics Simulation Data,
Sameep
Mehta, Steve Barr, Alex Choy, Hui
Yang,,
Srinivasan Parthasarathy, Raghu Machiraju and John Wilkins,
as invited
paper to "Best of SDM05" at Interface 2005, June 8-12, 2005, St.
Louis |
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Discovering
Spatial Relations Between Approximately Equivalent Patterns in Contact
Maps, Hui
Yang,
Keith Marsolo, Srinivasan Parthasarathy and Sameep Mehta, in
Proceedings of the 4th Workshop on Data Mining and Bioinformatics, ACM
SIGKDD 2004 (BIOKDD2004), Seattle, WA (Acceptance
rate = 23%)
(
pdf
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Correlation
Preserving Discretization, Sameep
Mehta, Srinivasan
Parthasarathy and Hui
Yang, in IEEE International Conference on Data Mining (ICDM) 2004, London, U.K.
(pdf) |
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On
the Use of Temporally Constrained Associations for Web Log Mining,
Hui
Yang
and Srinivasan Parthasarathy, a
chapter in the book "WEBKDD 2002 -Mining Web Data for Discovering
Usage Patterns and Profiles", O.R
Zaiane, J. Srivastava, M. Spiliopoulou, and B. Masand (Eds.), ISBN:
3-540-20304-4, ©Springer-Verlag
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On the Use of
Temporally Constrained Associations for Web Log Mining, Hui
Yang,
Srinivasan Parthasarathy, and Sandeep Reddy, in Proceedings of the
fourth ACM SIGKDD Workshop on Web Mining for Usage Patterns and User
Profiles (WEBKDD), 2002, Edmonton, Canada (Acceptance rate
= 40%)
(ps) |
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A
Generalized Framework for Mining Spatio-temporal Patterns in Scientific
Data,
Hui
Yang, Srinivasan Parthasarathy, and Sameep Mehta,
a
technical report (OSU-CISRC-5/05-TR14)
of Department of Computer Science and Engineering, Ohio State
University, 2005
(pdf) |
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Using
Temporally Constrained Associations for Web Usage Mining, Hui
Yang, A
M.Sc. Thesis, Department of Information and Computer Science, The
Ohio State University, 2002 |
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