Pawan Lingras

Georg Peters, Fernando Crespo, Pawan Lingras, Richard Weber: Soft clustering - Fuzzy and rough approaches and their extensions and derivatives. Int. J. Approx. Reasoning 54(2): 307-322 (2013)

Saurabh Nagrecha, Pawan Lingras, Nitesh V. Chawla: Comparison of Gene Co-expression Networks and Bayesian Networks. ACIIDS (1) 2013: 507-516

S. K. Michael Wong, Y. Y. Yao, Pawan Lingras: Compatibility of Quantitative and Qualitative Representations of Belief. CoRR abs/1303.5758 (2013)

Manish Joshi, Pawan Lingras, C. Raghavendra Rao: Correlating Fuzzy and Rough Clustering. Fundam. Inform. 115(2-3): 233-246 (2012)

Pawan Lingras, Parag Bhalchandra, Santosh Khamitkar, Satish Mekewad, Ravindra Rathod: Propagation of knowledge from crisp and soft clustering through a granular hierarchy. HIS 2012: 6-11

Asma Ammar, Zied Elouedi, Pawan Lingras: K-Modes Clustering Using Possibilistic Membership. IPMU (3) 2012: 596-605

Pawan Lingras, Kishore Rathinavel: Recursive meta-clustering in a granular network. ISDA 2012: 770-775

Asma Ammar, Zied Elouedi, Pawan Lingras: RPKM: The Rough Possibilistic K-Modes. ISMIS 2012: 81-86

Manish Joshi, Pawan Lingras: Evidential Clustering or Rough Clustering: The Choice Is Yours. RSKT 2012: 123-128

Salsabil Trabelsi, Zied Elouedi, Pawan Lingras: Heuristic for Attribute Selection Using Belief Discernibility Matrix. RSKT 2012: 129-138

Cory J. Butz, Ken Konkel, Pawan Lingras: Join tree propagation utilizing both arc reversal and variable elimination. Int. J. Approx. Reasoning 52(7): 948-959 (2011)

Salsabil Trabelsi, Zied Elouedi, Pawan Lingras: Classification systems based on rough sets under the belief function framework. Int. J. Approx. Reasoning 52(9): 1409-1432 (2011)

Peng Zhang, Manish Joshi, Pawan Lingras: Use of Stability and Seasonality Analysis for Optimal Inventory Prediction Models. J. Intelligent Systems 20(2): 147-166 (2011)

Pawan Lingras, Cory J. Butz: Conservative and aggressive rough SVR modeling. Theor. Comput. Sci. 412(42): 5885-5901 (2011)

Salsabil Trabelsi, Zied Elouedi, Pawan Lingras: Classification with Dynamic Reducts and Belief Functions. T. Rough Sets 14: 202-233 (2011)

Pawan Lingras, Georg Peters: Rough clustering. Wiley Interdisc. Rew.: Data Mining and Knowledge Discovery 1(1): 64-72 (2011)

Pawan Lingras, Sarjerao Nimse, N. Darkunde, A. Muley: Soft clustering from crisp clustering using granulation for mobile call mining. GrC 2011: 410-416

Peng Zhang, Manish Joshi, Pawan Lingras: Clustering of Products to Identify Optimal Inventory Prediction Models. IICAI 2011: 451-464

Pawan Lingras, Parag Bhalchandra, Santosh Khamitkar, Satish Mekewad, Ravindra Rathod: Crisp and Soft Clustering of Mobile Calls. MIWAI 2011: 147-158

Sarjerao Nimse, Pawan Lingras: History of Set Theory and Its Extensions in the Context of Soft Computing. RSKT 2011: 25

Pawan Lingras, Parag Bhalchandra, Satish Mekewad, Ravindra Rathod, Santosh Khamitkar: Comparing Clustering Schemes at Two Levels of Granularity for Mobile Call Mining. RSKT 2011: 696-705

Cory J. Butz, Pawan Lingras (Eds.): Advances in Artificial Intelligence - 24th Canadian Conference on Artificial Intelligence, Canadian AI 2011, St. John's, Canada, May 25-27, 2011. Proceedings. Lecture Notes in Computer Science 6657, Springer 2011, isbn 978-3-642-21042-6

Bhanu Prasad, Pawan Lingras, Ramakant Nevatia (Eds.): Proceedings of the 5th Indian International Conference on Artificial Intelligence, IICAI 2011, Tumkur, Karnataka State, India, December 14-16, 2011. IICAI 2011, isbn 978-0-9727412-8-6

Pawan Lingras, Cory J. Butz: Rough support vector regression. European Journal of Operational Research 206(2): 445-455 (2010)

Salsabil Trabelsi, Zied Elouedi, Pawan Lingras: Rule Discovery Process Based on Rough Sets under the Belief Function Framework. IPMU 2010: 726-736

Manish Joshi, Pawan Lingras, Yiyu Yao, Virendrakumar C. Bhavsar: Rough, fuzzy, interval clustering for web usage mining. ISDA 2010: 397-402

Salsabil Trabelsi, Zied Elouedi, Pawan Lingras: Belief Rough Set Classification for web mining based on dynamic core. ISDA 2010: 403-408

Salsabil Trabelsi, Zied Elouedi, Pawan Lingras: A Comparison of Dynamic and Static Belief Rough Set Classifier. RSCTC 2010: 366-375

Manish Joshi, Pawan Lingras, C. Raghavendra Rao: Analysis of Rough and Fuzzy Clustering. RSKT 2010: 679-686

Cory J. Butz, W. Yan, Pawan Lingras, Y. Y. Yao: The CPT Structure of Variable Elimination in Discrete Bayesian Networks. Advances in Intelligent Information Systems 2010: 245-257

Aijun An, Pawan Lingras, Sheila Petty, Runhe Huang (Eds.): Active Media Technology, 6th International Conference, AMT 2010, Toronto, Canada, August 28-30, 2010. Proceedings. Lecture Notes in Computer Science 6335, Springer 2010, isbn 978-3-642-15469-0

Jian Yu, Salvatore Greco, Pawan Lingras, Guoyin Wang, Andrzej Skowron (Eds.): Rough Set and Knowledge Technology - 5th International Conference, RSKT 2010, Beijing, China, October 15-17, 2010. Proceedings. Lecture Notes in Computer Science 6401, Springer 2010, isbn 978-3-642-16247-3

James F. Peters, Andrzej Skowron, Roman Slowinski, Pawan Lingras, Duoqian Miao, Shusaku Tsumoto (Eds.): Transactions on Rough Sets XII. Lecture Notes in Computer Science 6190, Springer 2010, isbn 978-3-642-14466-0

Pawan Lingras, Min Chen, Duoqian Miao: Semi-supervised Rough Cost/Benefit Decisions. Fundam. Inform. 94(2): 233-244 (2009)

Cory J. Butz, Junying Chen, Ken Konkel, Pawan Lingras: A formal comparison of variable elimination and arc reversal in Bayesian network inference. Intelligent Decision Technologies 3(3): 173-180 (2009)

Pawan Lingras, Min Chen, Duoqian Miao: Rough Cluster Quality Index Based on Decision Theory. IEEE Trans. Knowl. Data Eng. 21(7): 1014-1026 (2009)

Pawan Lingras: Rough K-medoids clustering using GAs. IEEE ICCI 2009: 315-319

Salsabil Trabelsi, Zied Elouedi, Pawan Lingras: Belief Rough Set Classifier. Canadian Conference on AI 2009: 257-261

Cory J. Butz, Junying Chen, Ken Konkel, Pawan Lingras: A Comparative Study of Variable Elimination and Arc Reversal in Bayesian Network Inference. FLAIRS Conference 2009

Cory J. Butz, Ken Konkel, Pawan Lingras: Join Tree Propagation Utilizing Both Arc Reversal and Variable Elimination. FLAIRS Conference 2009

Manish Joshi, Virendrakumar C. Bhavsar, Pawan Lingras: An Algorithm for the Estimation of a Time Period of 2-Sequences. IICAI 2009: 71-88

Manish Joshi, Pawan Lingras: Evolutionary and Iterative Crisp and Rough Clustering I: Theory. PReMI 2009: 615-620

Manish Joshi, Pawan Lingras: Evolutionary and Iterative Crisp and Rough Clustering II: Experiments. PReMI 2009: 621-627

Manish Joshi, Rabi N. Bhaumik, Pawan Lingras, Nitin Patil, Ambuja Salgaonkar, Dominik Slezak: Rough Set Year in India 2009. RSFDGrC 2009: 67-68

Salsabil Trabelsi, Zied Elouedi, Pawan Lingras: Dynamic Reduct from Partially Uncertain Data Using Rough Sets. RSFDGrC 2009: 160-167

Yiyu Yao, Pawan Lingras, Ruizhi Wang, Duoqian Miao: Interval Set Cluster Analysis: A Re-formulation. RSFDGrC 2009: 398-405

Pawan Lingras: Evolutionary Rough K-Means Clustering. RSKT 2009: 68-75

Bhanu Prasad, Pawan Lingras, Ashwin Ram (Eds.): Proceedings of the 4th Indian International Conference on Artificial Intelligence, IICAI 2009, Tumkur, Karnataka, India, December 16-18, 2009. IICAI 2009, isbn 978-0-9727412-7-9

Rajendra Akerkar, Pawan Lingras: Building an intelligent web - theory and practice: contains IBM DB2 Express-C9. Jones and Bartlett Publishers 2008, isbn 978-0-7637-4137-2, pp. I-XI, 1-326

Cory J. Butz, Pawan Lingras, Ken Konkel: A Web-Based Interface for Hiding Bayesian Network Inference. ISMIS 2008: 612-617

Pawan Lingras, Min Chen, Duoqian Miao: Precision of Rough Set Clustering. RSCTC 2008: 369-378

Pawan Lingras, Min Chen, Duoqian Miao: Rough Multi-category Decision Theoretic Framework. RSKT 2008: 676-683

Pawan Lingras, Ming Zhong, Satish Sharma: Evolutionary Regression and Neural Imputations of Missing Values. Soft Computing Applications in Industry 2008: 151-163

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)

Pawan Lingras: Applications of Rough Set Based K-Means, Kohonen SOM, GA Clustering. T. Rough Sets 7: 120-139 (2007)

Pawan Lingras, Richard Jensen: Survey of Rough and Fuzzy Hybridization. FUZZ-IEEE 2007: 1-6

Pawan Lingras, Rucha Lingras: Adaptive hyperlinks Using Page Access Sequences and Minimum Spanning Trees. FUZZ-IEEE 2007: 1-6

Pawan Lingras, Cory J. Butz: Precision and Recall in Rough Support Vector Machines. GrC 2007: 654-658

Keith Bain, Jason Hines, Pawan Lingras, Yumei Qin: Using Speech Recognition and Intelligent Search Tools to Enhance Information Accessibility. HCI (7) 2007: 214-223

Jingtao Yao, Pawan Lingras, Wei-Zhi Wu, Marcin S. Szczuka, Nick Cercone, Dominik Slezak (Eds.): Rough Sets and Knowledge Technology, Second International Conference, RSKT 2007, Toronto, Canada, May 14-16, 2007, Proceedings. Lecture Notes in Computer Science 4481, Springer 2007, isbn 978-3-540-72457-5

Ravipriya Ranatunga, Sisil Kumarawadu, Pawan Lingras, Tsu-Tian Lee: A New Paradigm for Intelligent Collision Avoidance via Interactive and Interdependent Generic Maneuvers. SMC 2006: 4625-4630

Pawan Lingras, Xiandong Huang: Statistical, Evolutionary, and Neurocomputing Clustering Techniques: Cluster-Based vs Object-Based Approaches. Artif. Intell. Rev. 23(1): 3-29 (2005)

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)

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)

Pawan Lingras, Cory J. Butz: Interval set representations of 1-v-r support vector machine multi-classifiers. GrC 2005: 193-198

Cory J. Butz, Pawan Lingras: On the Practical Irrelevance of Diverging Implication between Probabilistic Conditional Independence and Embedded Multivalued Dependency. IICAI 2005: 2464-2475

Pawan Lingras, Cory J. Butz: Reducing the Storage Requirements of 1-v-1 Support Vector Machine Multi-classifiers. RSFDGrC (2) 2005: 166-173

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)

Pawan Lingras, Chad West: Interval Set Clustering of Web Users with Rough K-Means. J. Intell. Inf. Syst. 23(1): 5-16 (2004)

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)

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

Pawan Lingras, Mofreh Hogo, Miroslav Snorek: Temporal Cluster Migration Matrices for Web Usage Mining. Web Intelligence 2004: 441-444

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

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)

Pawan Lingras, Rui Yan, Chad West: Fuzzy C-Means Clustering of Web Users for Educational Sites. Canadian Conference on AI 2003: 557-562

Mofreh Hogo, Pawan Lingras, Miroslav Snorek: Conventional Versus Interval Clustering Using Kohonen Networks. ICEIS (2) 2003: 250-257

Pawan Lingras, Rui Yan, Adish Jain: Clustering of Web Users: K-Means vs. Fuzzy C-Means. IICAI 2003: 1062-1073

Pawan Lingras, Rui Yan, Mofreh Hogo: Rough Set Based Clustering: Evolutionary, Neural, and Statistical Approaches. IICAI 2003: 1074-1087

Chad West, Adish Jain, Pawan Lingras, Bill Leonard: Supermarket Customer Attrition Analysis Based on Cluster Membership Patterns. IICAI 2003: 1132-1140

Pawan Lingras, Mofreh Hogo, Miroslav Snorek, Bill Leonard: Clustering Supermarket Customers Using Rough Set Based Kohonen Networks. ISMIS 2003: 169-173

Pawan Lingras, Rui Yan, Chad West: Comparison of Conventional and Rough K-Means Clustering. RSFDGrC 2003: 130-137

Mofreh Hogo, Miroslav Snorek, Pawan Lingras: Temporal Web Usage Mining. Web Intelligence 2003: 450-453

Pawan Lingras, Y. Y. Yao: Time Complexity of Rough Clustering: GAs versus K-Means. Rough Sets and Current Trends in Computing 2002: 263-270

Pawan Lingras, Cedric Davies: Application of Rough Genetic Algorithms. Computational Intelligence 17(3): 435-445 (2001)

Pawan Lingras: Fuzzy-rough and rough-fuzzy serial combinations in neurocomputing. Neurocomputing 36(1-4): 29-44 (2001)

Pawan Lingras: Unsupervised Rough Set Classification Using GAs. J. Intell. Inf. Syst. 16(3): 215-228 (2001)

Pawan Lingras, Paul Mountford: Time Delay Neural Networks Designed Using Genetic Algorithms for Short Term Inter-City Traffic Forecasting. IEA/AIE 2001: 290-299

Pawan Lingras, Cedric Davies: Rough Genetic Algorithms. RSFDGrC 1999: 38-46

Y. Y. Yao, Pawan Lingras: Interpretation of Belief Functions in The Theory of Rough Sets. Inf. Sci. 104(1-2): 81-106 (1998)

Pawan Lingras: Comparison of Neofuzzy and Rough Neural Networks. Inf. Sci. 110(3-4): 207-215 (1998)

Pawan Lingras, Y. Y. Yao: Data Mining Using Extensions of the Rough Set Model. JASIS 49(5): 415-422 (1998)

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)

Pawan Lingras: Combination of Evidence in Rough Set Theory. ICCI 1993: 289-293

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

S. K. Michael Wong, Pawan Lingras, Yiyu Yao: Propagation of Preference Relations in Qualitative Inference Networks. IJCAI 1991: 1204-1209

S. K. Michael Wong, Pawan Lingras, Yiyu Yao: Towards Implementing Valuation Based Systems with Relational Databases. ISMIS 1991: 172-182

S. K. Michael Wong, Yiyu Yao, Pawan Lingras: Compatibility of Quantitative and Qualitative Representations of Belief. UAI 1991: 418-424

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)

Pawan Lingras, S. K. Michael Wong: An Optimistic Rule for Accumulation of Evidence. ISMIS 1988: 60-69