Pawan Lingras
Pawan Lingras
Professor of Mathematics and Computing Science
Bestätigte E-Mail-Adresse bei cs.smu.ca - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Interval set clustering of web users with rough k-means
P Lingras, C West
Journal of Intelligent Information Systems 23 (1), 5-16, 2004
6252004
Decision-theoretic rough set models
Y Yao
International conference on rough sets and knowledge technology, 1-12, 2007
5222007
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
2241998
Interpretations of belief functions in the theory of rough sets
YY Yao, PJ Lingras
Information sciences 104 (1-2), 81-106, 1998
1971998
Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics): Preface
M Abe, K Aoki, G Ateniese, R Avanzi, Z Beerliová, O Billet, A Biryukov, ...
Lecture Notes in Computer Science (including subseries Lecture Notes in …, 2006
175*2006
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
1572013
Rough neural networks
P Lingras
Proc. of the 6th Int. Conf. on Information Processing and Management of …, 1996
1551996
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
1512004
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
1342007
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
1212008
Unsupervised rough set classification using GAs
P Lingras
Journal of Intelligent Information Systems 16 (3), 215-228, 2001
1202001
Comparison of neofuzzy and rough neural networks
P Lingras
Information Sciences 110 (3-4), 207-215, 1998
1121998
Rough set clustering for web mining
P Lingras
2002 IEEE World Congress on Computational Intelligence. 2002 IEEE …, 2002
1052002
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
992003
Genetically designed models for accurate imputation of missing traffic counts
M Zhong, S Sharma, P Lingras
Transportation Research Record 1879 (1), 71-79, 2004
852004
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
812004
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
812001
Applying rough set concepts to clustering
P Lingras, G Peters
Rough Sets: Selected Methods and Applications in Management and Engineering …, 2012
75*2012
Granular meta-clustering based on hierarchical, network, and temporal connections
P Lingras, F Haider, M Triff
Granular Computing 1 (1), 71-92, 2016
732016
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
722005
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