Kate A. Smith

77 papers B 3C 12Misc 10Journal 27Unranked 22
YearRankTypeTitle / Venue / Authors
2007 J jnl
Network and information security: A computational intelligence approach: Special Issue of Journal of Network and Computer Applications.
J. Netw. Comput. Appl.
Ajith Abraham, Kate A. Smith, Ravi Jain, Lakhmi C. Jain
2007 J jnl
Redundant association rules reduction techniques.
Int. J. Bus. Intell. Data Min.
Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith
2006 J jnl
Characteristic-Based Clustering for Time Series Data.
Data Min. Knowl. Discov.
Xiaozhe Wang, Kate A. Smith, Rob J. Hyndman
2006 J jnl
Maximum-entropy estimated distribution model for classification problems.
Int. J. Hybrid Intell. Syst.
Ling Tan, David Taniar, Kate A. Smith
2006 J jnl
On learning algorithm selection for classification.
Appl. Soft Comput.
Shawkat Ali, Kate A. Smith
2006 — conf
Temporal Representation in Spike Detection of Sparse Personal Identity Streams.
WISI
Clifton Phua, Vincent C. S. Lee, Ross W. Gayler, Kate A. Smith
2005 — ch.
A Longitudinal Comparison of Supervised and Unsupervised Learning Approaches to Iso-Resource Grouping for Acute Healthcare in Australia.
Classification and Clustering for Knowledge Discovery
Eu-Gene Siew, Kate A. Smith, Leonid Churilov, Jeff Wassertheil
2005 — conf
A Neural Network Model for Hierarchical Multilingual Text Categorization.
ISNN (2)
Rowena Chau, Chung-Hsing Yeh, Kate A. Smith
2005 — conf
A Personalized Multilingual Web Content Miner: PMWeb Miner.
ICCSA (2)
Rowena Chau, Chung-Hsing Yeh, Kate A. Smith
2005 J jnl
A clustering algorithm based on an estimated distribution model.
Int. J. Bus. Intell. Data Min.
Ling Tan, David Taniar, Kate A. Smith
2005 B conf
An Efficient Compression Technique for Frequent Itemset Generation in Association Rule Mining.
PAKDD
Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith
2005 J jnl
Applications of neural networks.
Comput. Oper. Res.
Kate A. Smith
2005 — conf
Computation of Meta-Learning Classifiers in Distributed Data Mining using a Novel Cognitive Memory Model.
IAT
Leelani Kumari Wickramasinghe, L. Damminda Alahakoon, Kate A. Smith
2005 J jnl
Data Mining with Combined Use of Optimization Techniques and Self-Organizing Maps for Improving Risk Grouping Rules: Application to Prostate Cancer Patients.
J. Manag. Inf. Syst.
Leonid Churilov, Adil M. Bagirov, Daniel Schwartz, Kate A. Smith, Michael Dally
2005 Misc conf
Dimension Reduction for Clustering Time Series Using Global Characteristics.
International Conference on Computational Science (3)
Xiaozhe Wang, Kate A. Smith, Rob J. Hyndman
2005 — conf
HDGSOMr: A High Dimensional Growing Self-Organizing Map Using Randomness for Efficient Web and Text Mining.
Web Intelligence
Rasika Amarasiri, Damminda Alahakoon, Kate A. Smith, Malin Premaratne
2005 J jnl
Intelligent web traffic mining and analysis.
J. Netw. Comput. Appl.
Xiaozhe Wang, Ajith Abraham, Kate A. Smith
2005 J jnl
Kernal Width Selection for SVM Classification: A Meta-Learning Approach.
Int. J. Data Warehous. Min.
Shawkat Ali, Kate A. Smith
2005 J jnl
Optimization via Intermittency with a Self-Organizing Neural Network.
Neural Comput.
Terence Kwok, Kate A. Smith
2005 J jnl
PPDAM: Privacy-Preserving Distributed Association-Rule-Mining Algorithm.
Int. J. Intell. Inf. Technol.
Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith
2005 — conf
Redundant Association Rules Reduction Techniques.
Australian Conference on Artificial Intelligence
Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith
2005 — ch.
Soft Computing Paradigms for Web Access Pattern Analysis.
Classification and Clustering for Knowledge Discovery
Xiaozhe Wang, Ajith Abraham, Kate A. Smith
2004 C conf
A New Approach of Eliminating Redundant Association Rules.
DEXA
Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith
2004 J jnl
A noisy self-organizing neural network with bifurcation dynamics for combinatorial optimization.
IEEE Trans. Neural Networks
Terence Kwok, Kate A. Smith
2004 C conf
HDGSOM: A Modified Growing Self-Organizing Map for High Dimensional Data Clustering.
HIS
Rasika Amarasiri, L. Damminda Alahakoon, Kate A. Smith
2004 — conf
Improving Risk Grouping Rules for Prostate Cancer Patients with Optimization.
HICSS
Leonid Churilov, Adil M. Bagirov, Daniel Schwartz, Kate A. Smith, Michael Dally
2004 J jnl
ODAM: An Optimized Distributed Association Rule Mining Algorithm.
IEEE Distributed Syst. Online
Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith
2004 B conf
Personalized Multilingual Web Content Mining.
KES
Rowena Chau, Chung-Hsing Yeh, Kate A. Smith
2004 B conf
Reducing Communication Cost in a Privacy Preserving Distributed Association Rule Mining.
DASFAA
Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith
2003 Misc conf
A Compress-Based Association Mining Algorithm for Large Dataset.
International Conference on Computational Science
Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith
2003 Misc conf
A DTD for an XML-Based Mathematical Modeling Language.
International Conference on Computational Science
Marcos Calle, Sebastián Lozano, Kate A. Smith, Terence Kwok, Juan José Domínguez-Jiménez
2003 C conf
A Self-Organising Neural Network with Intermittent Switching for Combinatorial Optimisation.
HIS
Terence Kwok, Kate A. Smith
2003 C conf
An XML Schema Definition for an Operations Research Modeling Language.
HIS
Marcos Calle, Sebastián Lozano, Kate A. Smith, Gabriel Villa
2003 — ch.
Artificial Neural Networks for Combinatorial Optimization.
Handbook of Metaheuristics
Jean-Yves Potvin, Kate A. Smith
2003 Misc conf
Automatic parameter selection for polynomial kernel.
IRI
Shawkat Ali, Kate A. Smith
2003 — conf
Developing a Personal Multilingual Web Space.
Applied Informatics
Rowena Chau, Chung-Hsing Yeh, Kate A. Smith
2003 Misc conf
Evolutionary Rule Generation Classification and Its Application to Multi-class Data.
International Conference on Computational Science
Susan E. Bedingfield, Kate A. Smith
2003 Misc conf
FOM: A Framework for Metaheuristic Optimization.
International Conference on Computational Science
José Antonio Parejo, Jesús Racero, Fernando Guerrero, Terence Kwok, Kate A. Smith
2003 Misc conf
Improved Web Searching through Neural Network Based Index Generation.
International Conference on Computational Science
Xiaozhe Wang, Damminda Alahakoon, Kate A. Smith
2003 C conf
Improving Risk Grouping Rules for Prostate Cancer Patients Using Self-Organizing Maps.
HIS
Daniel Schwartz, Kate A. Smith, Leonid Churilov, Michael Dally, Richard Weber
2003 C conf
Matching SVM Kernel's Suitability to Data Characteristics Using Tree by Fuzzy C-means Clustering.
HIS
Shawkat Ali, Kate A. Smith
2003 — conf
Performance-Enhancing Bifurcations in a Self-Organising Neural Network.
IWANN (1)
Terence Kwok, Kate A. Smith
2003 C conf
Predicting Bad Credit Risk: An Evolutionary Approach.
ICANN
Susan E. Bedingfield, Kate A. Smith
2003 — conf
Towards Privacy Preserving Distributed Association Rule Mining.
IWDC
Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith
2003 J jnl
Web page clustering using a self-organizing map of user navigation patterns.
Decis. Support Syst.
Kate A. Smith, Alan Ng
2002 — conf
A Comparison of Supervised and Unsupervised Learning Approaches to ISO-Resource Grouping for Acute Healthcare in Australia.
FSKD
Eu-Gene Siew, Kate A. Smith, Leonid Churilov, Jeff Wassertheil
2002 — conf
A Data Mining Architecture for Clustered Environments.
PARA
Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith
2002 — conf
A Data Mining Architecture for Distributed Environments.
IICS
Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith
2002 — conf
A Neural Clustering Approach to Iso-Resource for Acute Healthcare in Australia.
HICSS
Eu-Gene Siew, Kate A. Smith, Leonid Churilov, Mohamed Ibrahim
2002 — conf
A New Parallel Genetic Algorithm.
ISPAN
Ling Tan, David Taniar, Kate A. Smith
2002 — conf
A Taxonomy for Inter-Model Parallelism in High Performance Data Mining.
ICEIS
Ling Tan, David Taniar, Kate A. Smith
2002 J jnl
A mathematical programming approach to optimise insurance premium pricing within a data mining framework.
J. Oper. Res. Soc.
Ai Cheo Yeo, Kate A. Smith, Robert J. Willis, Malcolm Brooks
2002 C conf
Clustering Web User Interests Using Self Organising Maps.
HIS
Xiaozhe Wang, Kate A. Smith
2002 — conf
Parallel Fuzzy c-Means Clustering for Large Data Sets.
Euro-Par
Terence Kwok, Kate A. Smith, Sebastián Lozano, David Taniar
2002 Misc conf
Parametric Optimization in Data Mining Incorporated with GA-Based Search.
International Conference on Computational Science (1)
Ling Tan, David Taniar, Kate A. Smith
2002 — conf
Soft Computing Paradigms for Web Access Pattern Analysis.
FSKD
Xiaozhe Wang, Ajith Abraham, Kate A. Smith
2002 C conf
Web Traffic Mining Using a Concurrent Neuro-Fuzzy Approach.
HIS
Xiaozhe Wang, Ajith Abraham, Kate A. Smith
2001 C conf
A Comparison of GRASP and an Exact Method for Solving a Production and Delivery Scheduling Problem.
HIS
José M. García, Kate A. Smith, Sebastián Lozano, Fernando Guerrero
2001 J jnl
Clustering technique for risk classification and prediction of claim costs in the automobile insurance industry.
Intell. Syst. Account. Finance Manag.
Ai Cheo Yeo, Kate A. Smith, Robert J. Willis, Malcolm Brooks
2001 — conf
Continuous Function Optimisation via Gradient Descent on a Neural Network Approximation Function.
IWANN (1)
Kate A. Smith, Jatinder N. D. Gupta
2001 C conf
Determining the Validity of Clustering for Data Fusion.
HIS
Kate A. Smith, Sheldon Chuan, Peter van der Putten
2001 Misc conf
Genetic Line Search.
International Conference on Computational Science (2)
Sebastián Lozano, Juan José Domínguez-Jiménez, Fernando Guerrero, Kate A. Smith
2001 C conf
Matching Data Mining Algorithm Suitability to Data Characteristics Using a Self-Organizing Map.
HIS
Kate A. Smith, Frederick Woo, Victor Ciesielski, Remzi Ibrahim
2001 Misc conf
Modelling the Effect of Premium Changes on Motor Insurance Customer Retention Rates Using Neural Networks.
International Conference on Computational Science (2)
Ai Cheo Yeo, Kate A. Smith, Robert J. Willis, Malcolm Brooks
2001 — conf
Nonlinear System Dynamics in the Normalisation Process of a Self-Organising Neural Network for Combinatorial Optimisation.
IWANN (1)
Terence Kwok, Kate A. Smith
2000 J jnl
An analysis of customer retention and insurance claim patterns using data mining: a case study.
J. Oper. Res. Soc.
Kate A. Smith, Robert J. Willis, Malcolm Brooks
2000 — conf
Cash Flow Forecasting Using Supervised and Unsupervised Neural Networks.
IJCNN (6)
Larisa Lokmic, Kate A. Smith
2000 J jnl
Experimental analysis of chaotic neural network models for combinatorial optimization under a unifying framework.
Neural Networks
Terence Kwok, Kate A. Smith
2000 J jnl
Neural networks in business: techniques and applications for the operations researcher.
Comput. Oper. Res.
Kate A. Smith, Jatinder N. D. Gupta
1999 J jnl
A unified framework for chaotic neural-network approaches to combinatorial optimization.
IEEE Trans. Neural Networks
Terence Kwok, Kate A. Smith
1999 J jnl
Neural Networks for Combinatorial Optimization: A Review of More Than a Decade of Research.
INFORMS J. Comput.
Kate A. Smith
1998 — conf
FPGA Based Implementation of a Hopfield Neural Network for Solving Constraint Satisfaction Problems.
EUROMICRO
David Abramson, Kate A. Smith, Paul Logothetis, David J. Duke
1998 J jnl
Neural techniques for combinatorial optimization with applications.
IEEE Trans. Neural Networks
Kate A. Smith, Marimuthu Palaniswami, Mohan Krishnamoorthy
1998 J jnl
On chaotic simulated annealing.
IEEE Trans. Neural Networks
Lipo Wang, Kate A. Smith
1997 J jnl
Static and Dynamic Channel Assignment Using Neural Networks.
IEEE J. Sel. Areas Commun.
Kate A. Smith, Marimuthu Palaniswami
1996 J jnl
A hybrid neural approach to combinatorial optimization.
Comput. Oper. Res.
Kate A. Smith, Marimuthu Palaniswami, Mohan Krishnamoorthy
1996 J jnl
An argument for abandoning the travelling salesman problem as a neural-network benchmark.
IEEE Trans. Neural Networks
Kate A. Smith