| 2008 |
|---|
| 49 | EE | Cory J. Butz,
Pawan Lingras,
K. Konkel:
A Web-Based Interface for Hiding Bayesian Network Inference.
ISMIS 2008: 612-617 |
| 48 | EE | Pawan Lingras,
Min Chen,
Duoqian Miao:
Precision of Rough Set Clustering.
RSCTC 2008: 369-378 |
| 47 | EE | Pawan Lingras,
Min Chen,
Duoqian Miao:
Rough Multi-category Decision Theoretic Framework.
RSKT 2008: 676-683 |
| 46 | EE | Pawan Lingras,
Ming Zhong,
Satish Sharma:
Evolutionary Regression and Neural Imputations of Missing Values.
Soft Computing Applications in Industry 2008: 151-163 |
| 2007 |
|---|
| 45 | | Jingtao Yao,
Pawan Lingras,
Wei-Zhi Wu,
Marcin S. Szczuka,
Nick Cercone,
Dominik Slezak:
Rough Sets and Knowledge Technology, Second International Conference, RSKT 2007, Toronto, Canada, May 14-16, 2007, Proceedings
Springer 2007 |
| 44 | EE | Pawan Lingras,
Rucha Lingras:
Adaptive hyperlinks Using Page Access Sequences and Minimum Spanning Trees.
FUZZ-IEEE 2007: 1-6 |
| 43 | EE | Pawan Lingras,
Richard Jensen:
Survey of Rough and Fuzzy Hybridization.
FUZZ-IEEE 2007: 1-6 |
| 42 | EE | Pawan Lingras,
Cory J. Butz:
Precision and Recall in Rough Support Vector Machines.
GrC 2007: 654-658 |
| 41 | EE | Keith Bain,
Jason Hines,
Pawan Lingras,
Yumei Qin:
Using Speech Recognition and Intelligent Search Tools to Enhance Information Accessibility.
HCI (7) 2007: 214-223 |
| 40 | EE | Pawan Lingras,
Cory J. Butz:
Rough set based 1-v-1 and 1-v-r approaches to support vector machine multi-classification.
Inf. Sci. 177(18): 3782-3798 (2007) |
| 39 | EE | Pawan Lingras:
Applications of Rough Set Based K-Means, Kohonen SOM, GA Clustering.
T. Rough Sets 7: 120-139 (2007) |
| 2005 |
|---|
| 38 | EE | Pawan Lingras,
Cory J. Butz:
Interval set representations of 1-v-r support vector machine multi-classifiers.
GrC 2005: 193-198 |
| 37 | | Cory J. Butz,
Pawan Lingras:
On the Practical Irrelevance of Diverging Implication between Probabilistic Conditional Independence and Embedded Multivalued Dependency.
IICAI 2005: 2464-2475 |
| 36 | EE | Pawan Lingras,
Cory J. Butz:
Reducing the Storage Requirements of 1-v-1 Support Vector Machine Multi-classifiers.
RSFDGrC (2) 2005: 166-173 |
| 35 | EE | Pawan Lingras,
Xiandong Huang:
Statistical, Evolutionary, and Neurocomputing Clustering Techniques: Cluster-Based vs Object-Based Approaches.
Artif. Intell. Rev. 23(1): 3-29 (2005) |
| 34 | EE | Chad West,
Stephanie MacDonald,
Pawan Lingras,
Greg Adams:
Relationship between Product Based Loyalty and Clustering based on Supermarket Visit and Spending Patterns.
IJCSA 2(2): 85-100 (2005) |
| 33 | EE | Pawan Lingras,
Mofreh Hogo,
Miroslav Snorek,
Chad West:
Temporal analysis of clusters of supermarket customers: conventional versus interval set approach.
Inf. Sci. 172(1-2): 215-240 (2005) |
| 2004 |
|---|
| 32 | EE | Ming Zhong,
Satish Sharma,
Pawan Lingras:
Analyzing the Performance of Genetically Designed Short-Term Traffic Prediction Models Based on Road Types and Functional Classes.
IEA/AIE 2004: 1133-1145 |
| 31 | EE | Pawan Lingras,
Mofreh Hogo,
Miroslav Snorek:
Temporal Cluster Migration Matrices for Web Usage Mining.
Web Intelligence 2004: 441-444 |
| 30 | EE | Yiyu Yao,
Jingtao Yao,
Cory J. Butz,
Pawan Lingras,
Dawn N. Jutla:
Web-based Support Systems (WSS): A Report of the WIC Canada Research Centre.
Web Intelligence 2004: 787-788 |
| 29 | EE | Mofreh Hogo,
Miroslav Snorek,
Pawan Lingras:
Temporal Versus Latest Snapshot Web Usage Mining Using Kohonen Som And Modified Kohonen Som Based on The Properties of Rough Sets Theory.
International Journal on Artificial Intelligence Tools 13(3): 569-592 (2004) |
| 28 | EE | Pawan Lingras,
Chad West:
Interval Set Clustering of Web Users with Rough K-Means.
J. Intell. Inf. Syst. 23(1): 5-16 (2004) |
| 27 | EE | Pawan Lingras,
Mofreh Hogo,
Miroslav Snorek:
Interval set clustering of web users using modified Kohonen self-organizing maps based on the properties of rough sets.
Web Intelligence and Agent Systems 2(3): 217-225 (2004) |
| 2003 |
|---|
| 26 | EE | Pawan Lingras,
Rui Yan,
Chad West:
Fuzzy C-Means Clustering of Web Users for Educational Sites.
Canadian Conference on AI 2003: 557-562 |
| 25 | | Mofreh Hogo,
Pawan Lingras,
Miroslav Snorek:
Conventional Versus Interval Clustering Using Kohonen Networks.
ICEIS (2) 2003: 250-257 |
| 24 | | Pawan Lingras,
Rui Yan,
Adish Jain:
Clustering of Web Users: K-Means vs. Fuzzy C-Means.
IICAI 2003: 1062-1073 |
| 23 | | Pawan Lingras,
Rui Yan,
Mofreh Hogo:
Rough Set Based Clustering: Evolutionary, Neural, and Statistical Approaches.
IICAI 2003: 1074-1087 |
| 22 | | Chad West,
Adish Jain,
Pawan Lingras,
Bill Leonard:
Supermarket Customer Attrition Analysis Based on Cluster Membership Patterns.
IICAI 2003: 1132-1140 |
| 21 | EE | Pawan Lingras,
Mofreh Hogo,
Miroslav Snorek,
Bill Leonard:
Clustering Supermarket Customers Using Rough Set Based Kohonen Networks.
ISMIS 2003: 169-173 |
| 20 | EE | Pawan Lingras,
Rui Yan,
Chad West:
Comparison of Conventional and Rough K-Means Clustering.
RSFDGrC 2003: 130-137 |
| 19 | EE | Mofreh Hogo,
Miroslav Snorek,
Pawan Lingras:
Temporal Web Usage Mining.
Web Intelligence 2003: 450-453 |
| 18 | EE | Cedric Davies,
Pawan Lingras:
Genetic algorithms for rerouting shortest paths in dynamic and stochastic networks.
European Journal of Operational Research 144(1): 27-38 (2003) |
| 2002 |
|---|
| 17 | EE | Pawan Lingras,
Y. Y. Yao:
Time Complexity of Rough Clustering: GAs versus K-Means.
Rough Sets and Current Trends in Computing 2002: 263-270 |
| 2001 |
|---|
| 16 | EE | Pawan Lingras,
Paul Mountford:
Time Delay Neural Networks Designed Using Genetic Algorithms for Short Term Inter-City Traffic Forecasting.
IEA/AIE 2001: 290-299 |
| 15 | | Pawan Lingras,
Cedric Davies:
Application of Rough Genetic Algorithms.
Computational Intelligence 17(3): 435-445 (2001) |
| 14 | | Pawan Lingras:
Unsupervised Rough Set Classification Using GAs.
J. Intell. Inf. Syst. 16(3): 215-228 (2001) |
| 13 | EE | Pawan Lingras:
Fuzzy-rough and rough-fuzzy serial combinations in neurocomputing.
Neurocomputing 36(1-4): 29-44 (2001) |
| 1999 |
|---|
| 12 | | Pawan Lingras,
Cedric Davies:
Rough Genetic Algorithms.
RSFDGrC 1999: 38-46 |
| 1998 |
|---|
| 11 | | Y. Y. Yao,
Pawan Lingras:
Interpretation of Belief Functions in The Theory of Rough Sets.
Inf. Sci. 104(1-2): 81-106 (1998) |
| 10 | | Pawan Lingras:
Comparison of Neofuzzy and Rough Neural Networks.
Inf. Sci. 110(3-4): 207-215 (1998) |
| 9 | | Pawan Lingras,
Y. Y. Yao:
Data Mining Using Extensions of the Rough Set Model.
JASIS 49(5): 415-422 (1998) |
| 1994 |
|---|
| 8 | EE | S. K. Michael Wong,
Pawan Lingras:
Representation of Qualitative User Preference by Quantitative Belief Functions.
IEEE Trans. Knowl. Data Eng. 6(1): 72-78 (1994) |
| 1993 |
|---|
| 7 | | Pawan Lingras:
Combination of Evidence in Rough Set Theory.
ICCI 1993: 289-293 |
| 6 | | C. W. R. Chau,
Pawan Lingras,
S. K. Michael Wong:
Upper and Lower Entropies of Belief Functions Using Compatible Probability Functions.
ISMIS 1993: 306-315 |
| 1991 |
|---|
| 5 | | S. K. Michael Wong,
Pawan Lingras,
Yiyu Yao:
Propagation of Preference Relations in Qualitative Inference Networks.
IJCAI 1991: 1204-1209 |
| 4 | | S. K. Michael Wong,
Pawan Lingras,
Yiyu Yao:
Towards Implementing Valuation Based Systems with Relational Databases.
ISMIS 1991: 172-182 |
| 3 | EE | S. K. Michael Wong,
Yiyu Yao,
Pawan Lingras:
Compatibility of Quantitative and Qualitative Representations of Belief.
UAI 1991: 418-424 |
| 1990 |
|---|
| 2 | | Pawan Lingras,
S. K. Michael Wong:
Two Perspectives of the Dempster-Shafer Theory of Belief Functions.
International Journal of Man-Machine Studies 33(4): 467-487 (1990) |
| 1988 |
|---|
| 1 | | Pawan Lingras,
S. K. Michael Wong:
An Optimistic Rule for Accumulation of Evidence.
ISMIS 1988: 60-69 |
