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Displaying 1-21 out of 21 total
MAGMA: An Algorithm for Mining Multi-level Patterns in Genomic Data
Found in: Bioinformatics and Biomedicine, IEEE International Conference on
By Winnie W. M. Lam, Keith C. C. Chan, David K. Y. Chiu, Andrew K. C. Wong
Issue Date:November 2007
pp. 89-94
Genome comparison is very useful for deriving evolutionary and functional relationships between genomes. Previous works on genome comparison focus mainly on comparing the entire genome at the nucleotide level. As interesting patterns exist also at the gene...
 
Class-Dependent Discretization for Inductive Learning from Continuous and Mixed-Mode Data
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By John Y. Ching, Andrew K. C. Wong, Keith C. C. Chan
Issue Date:July 1995
pp. 641-651
<p><it>Abstract</it>—Inductive learning systems can be effectively used to acquire classification knowledge from examples. Many existing symbolic learning algorithms can be applied in domains with continuous attributes when integrated wit...
 
A Graph Mining Algorithm for Classifying Chemical Compounds
Found in: Bioinformatics and Biomedicine, IEEE International Conference on
By Winnie W. M. Lam, Keith C. C. Chan
Issue Date:November 2008
pp. 321-324
Graph data mining algorithms are increasingly applied to biological graph dataset. However, while existing graph mining algorithms can identify frequently occurring sub-graphs, these do not necessarily represent useful patterns. In this paper, we propose a...
 
Inference of Gene Regulatory Networks from Time Series Expression Data: A Data Mining Approach
Found in: Data Mining Workshops, International Conference on
By Patrick C. H. Ma, Keith C. C. Chan
Issue Date:December 2006
pp. 109-113
The developments in large-scale monitoring of gene expression have made the reconstruction of gene regulatory networks (GRNs) feasible. Before one can infer the overall structures of GRNs, it is important to identify, for each gene in a network, which othe...
 
Structural Data Mining on Secondary Genomic Structure
Found in: Bioinformatic and Bioengineering, IEEE International Symposium on
By Winnie W. M. Lam, Keith C. C. Chan
Issue Date:October 2005
pp. 263-266
There exist many methods for classifying genomic data by aligning, comparing, and analyzing primary nucleotide sequences using such algorithms as decision tree and HMM. These methods are, however, not always effective as motifs are more conserved in struct...
 
A Reliable Totally-Ordered Group Multicast Protocol for Mobile Internet
Found in: Parallel Processing Workshops, International Conference on
By Guojun Wang, Jiannong Cao, Keith C. C. Chan
Issue Date:August 2004
pp. 108-115
We propose a novel multicast communications model, called RingNet, which is a combination of logical trees and logical rings for multicast communications. Based on RingNet, we propose a reliable totally-ordered group multicast protocol for mobile Internet....
 
Mining Fuzzy Association Patterns in Gene Expression Data for Gene Function Prediction
Found in: Bioinformatics and Biomedicine, IEEE International Conference on
By Patrick C. H. Ma, Keith C. C. Chan
Issue Date:November 2008
pp. 84-89
The development in DNA microarray technologies has made the simultaneous monitoring of the expression levels of thousands of genes under different experimental conditions possible. Due to the complexity of the underlying biological processes and also the e...
 
Delay-Bounded Range Queries in DHT-based Peer-to-Peer Systems
Found in: Distributed Computing Systems, International Conference on
By Dongsheng Li, Xicheng Lu, Baosheng Wang, Jinshu Su, Jiannong Cao, Keith C. C. Chan, Hong-va Leong
Issue Date:July 2006
pp. 64
Many general range query schemes for DHT-based peer-to-peer (P2P) systems have been proposed, which do not need to modify the underlying DHTs. However, most existing works have the query delay depending on both the scale of the system and the size of the q...
 
A Novel QoS Multicast Model in Mobile Ad Hoc Networks
Found in: Parallel and Distributed Processing Symposium, International
By Guojun Wang, Jiannong Cao, Lifan Zhang, Keith C. C. Chan, Jie Wu
Issue Date:April 2005
pp. 206b
Multicast applications for large-scale Mobile Ad hoc NETworks (MANETs) require an efficient and effective Quality of Service (QoS)-aware multicast model. The new requirements to guarantee QoS are high availability and good load balancing due to limited ban...
 
RGB: A Scalable and Reliable Group Membership Protocol in Mobile Internet
Found in: Parallel Processing, International Conference on
By Guojun Wang, Jiannong Cao, Keith C. C. Chan
Issue Date:August 2004
pp. 326-333
We propose a membership protocol for group communications in mobile Internet. The protocol is called RGB, which is the acronym of
 
Dimensionality Reduction for Descriptor Generation in Rushes Editing
Found in: International Conference on Semantic Computing
By Yang Liu, Yan Liu, Keith C. C. Chan
Issue Date:August 2008
pp. 104-111
Rushes editing, which enables the computer to edit the film like a professional film cutter based on the noisy and redundant footage, is an active topic in multimedia semantic analysis. The most critical problem of rushes editing is how to generate an effe...
 
Big data analytics for drug discovery
Found in: 2013 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
By Keith C. C. Chan
Issue Date:December 2013
pp. 1
Big Data refers to data sets that are so large and complex that traditional data processing tools and technologies cannot cope with. The process of examining such data to uncover hidden patterns in them is referred to as Big Data Analytics. Drug discovery ...
   
Utilizing Both Topological and Attribute Information for Protein Complex Identification in PPI Networks
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics
By Allen L. Hu,Keith C. C. Chan
Issue Date:July 2013
pp. 1
Many computational approaches developed to identify protein complexes in Protein-Protein Interaction (PPI) networks perform their tasks based only on network topologies. The attributes of the proteins in the networks are usually ignored. As protein attribu...
 
Correction to "Attribute Clustering for Grouping, Selection, and Classification of Gene Expression Data"
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
By Andrew K. C. Wong, Keith C. C. Chan, Wai-Ho Au, Yang Wang
Issue Date:January 2007
pp. 157
This is a correction to a typographical error in (11) in [1] which present the calculation of the sum of the multiple significant interdependence redundancy measure. Equation (11) in [1] should be: $$k=\arg\max\nolimits_{k\in\{2,\ldots,p\}}\sum_{r=1}^k \su...
     
A novel data mining algorithm for reconstructing gene regulatory networks from microarray data
Found in: Proceedings of the 2006 ACM symposium on Applied computing (SAC '06)
By Keith C. C. Chan, Patrick C. H. Ma
Issue Date:April 2006
pp. 202-203
In this paper, we propose a novel data mining algorithm for reconstructing gene regulatory networks (GRNs) from microarray data. By making use of the proposed probabilistic measure, it is able to mine noisy, high dimensional expression data for interesting...
     
Attribute Clustering for Grouping, Selection, and Classification of Gene Expression Data
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
By Andrew K. C. Wong, Keith C. C. Chan, Wai-Ho Au, Yang Wang
Issue Date:April 2005
pp. 83-101
This paper presents an attribute clustering method which is able to group genes based on their interdependence so as to mine meaningful patterns from the gene expression data. It can be used for gene grouping, selection, and classification. The partitionin...
     
Utilizing Both Topological and Attribute Information for Protein Complex Identification in PPI Networks
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
By Allen L. Hu, Keith C. C. Chan
Issue Date:May 2013
pp. 780-792
Many computational approaches developed to identify protein complexes in protein-protein interaction (PPI) networks perform their tasks based only on network topologies. The attributes of the proteins in the networks are usually ignored. As protein attribu...
     
Neighborhood preserving ordinal regression
Found in: Proceedings of the 4th International Conference on Internet Multimedia Computing and Service (ICIMCS '12)
By Jing Zhang, Keith C. C. Chan, Yan Liu, Yang Liu
Issue Date:September 2012
pp. 119-122
Ordinal regression, which aims at determining the rating of a data item on a discrete rating scale, is an important research topic in pattern mining and multimedia data analysis. Most of the existing approaches of ordinal regression try to seek only one di...
     
EvoMD: An Algorithm for Evolutionary Molecular Design
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
By Keith C. C. Chan, Samuel S. Y. Wong, Weimin Luo
Issue Date:July 2011
pp. 987-1003
Traditionally, Computer-Aided Molecular Design (CAMD) uses heuristic search and mathematical programming to tackle the molecular design problem. But these techniques do not handle large and nonlinear search space very well. To overcome these drawbacks, gra...
     
Mining fuzzy association rules
Found in: Proceedings of the sixth international conference on Information and knowledge management (CIKM '97)
By Keith C. C. Chan, Wai-Ho Au
Issue Date:November 1997
pp. 209-215
This paper describes the design of and experimentation with the Knowledge Query and Manipulation Language (KQML), a new language and protocol for exchanging information and knowledge. This work is part of a larger effort, the ARPA Knowledge Sharing Effort ...
     
An effective algorithm for mining interesting quantitative association rules
Found in: Proceedings of the 1997 ACM symposium on Applied computing (SAC '97)
By Keith C. C. Chan, Wai-Ho Au
Issue Date:April 1997
pp. 88-90
This paper describes the effects of program restructuring in a dataflow environment. Previous studies showed that dataflow programs can exhibit locality and that a memory hierarchy is feasible in a dataflow environment. This study shows that the order in w...
     
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