Pawan Lingras
Pawan Lingras
Professor of Mathematics and Computing Science
Verified email at - Homepage
Cited by
Cited by
Interval Set Clustering of Web Users with Rough K-Means
P Lingras, C West
Journal of Intelligent Information Systems 23, 5-16, 2004
Comparison of neofuzzy and rough neural networks
P Lingras
Information Sciences 110 (3-4), 207-215, 1998
Data mining using extensions of the rough set model
PJ Lingras, YY Yao
Journal of the American society for information science 49 (5), 415-422, 1998
Interpretations of belief functions in the theory of rough sets
YY Yao, PJ Lingras
Information sciences 104 (1-2), 81-106, 1998
Estimation of missing traffic counts using factor, genetic, neural, and regression techniques
M Zhong, P Lingras, S Sharma
Transportation Research Part C: Emerging Technologies 12 (2), 139-166, 2004
Soft clustering–fuzzy and rough approaches and their extensions and derivatives
G Peters, F Crespo, P Lingras, R Weber
International Journal of Approximate Reasoning 54 (2), 307-322, 2013
Rough set based 1-v-1 and 1-vr approaches to support vector machine multi-classification
P Lingras, C Butz
Information Sciences 177 (18), 3782-3798, 2007
Unsupervised rough set classification using GAs
P Lingras
Journal of intelligent information systems 16, 215-228, 2001
Rough cluster quality index based on decision theory
P Lingras, M Chen, D Miao
IEEE Transactions on Knowledge and Data Engineering 21 (7), 1014-1026, 2008
Genetically designed models for accurate imputation of missing traffic counts
M Zhong, S Sharma, P Lingras
Transportation Research Record 1879 (1), 71-79, 2004
Genetic algorithms for rerouting shortest paths in dynamic and stochastic networks
C Davies, P Lingras
European journal of operational research 144 (1), 27-38, 2003
Rough set clustering for web mining
P Lingras
2002 IEEE World Congress on Computational Intelligence. 2002 IEEE …, 2002
Time delay neural networks designed using genetic algorithms for short term inter-city traffic forecasting
P Lingras, P Mountford
International conference on industrial, engineering and other applications …, 2001
Prediction of recreational travel using genetically designed regression and time-delay neural network models
P Lingras, S Sharma, M Zhong
Transportation Research Record 1805 (1), 16-24, 2002
Application of neural networks to estimate AADT on low-volume roads
S Sharma, P Lingras, F Xu, P Kilburn
Journal of Transportation Engineering 127 (5), 426-432, 2001
Applying rough set concepts to clustering
P Lingras, G Peters
Rough Sets: Selected Methods and Applications in Management and Engineering …, 2012
Temporal analysis of clusters of supermarket customers: conventional versus interval set approach
P Lingras, M Hogo, M Snorek, C West
Information Sciences 172 (1-2), 215-240, 2005
Interval set clustering of web users using modified kohonen self-organizing maps based on the properties of rough sets
P Lingras, M Hogo, M Snorek
Web Intelligence and Agent Systems: An International Journal 2 (3), 217-225, 2004
Granular meta-clustering based on hierarchical, network, and temporal connections
P Lingras, F Haider, M Triff
Granular Computing 1, 71-92, 2016
Classifying highways: hierarchical grouping versus Kohonen neural networks
P Lingras
Journal of Transportation Engineering 121 (4), 364-368, 1995
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