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Pawan Lingras
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Publications
- 2023
- [e11]Morusupalli Raghava, Teja Santosh Dandibhotla, Vani Vathsala Atluri, David Windridge, Pawan Lingras, Venkateswara Rao Komati:
Multi-disciplinary Trends in Artificial Intelligence - 16th International Conference, MIWAI 2023, Hyderabad, India, July 21-22, 2023, Proceedings. Lecture Notes in Computer Science 14078, Springer 2023, ISBN 978-3-031-36401-3 [contents] - [e10]Scott Dick, Vladik Kreinovich, Pawan Lingras:
Applications of Fuzzy Techniques - Proceedings of the 2022 Annual Conference of the North American Fuzzy Information Processing Society, NAFIPS 2022, Halifax, NS, Canada, 31 May - 3 June 2022. Lecture Notes in Networks and Systems 500, Springer 2023, ISBN 978-3-031-16037-0 [contents] - 2020
- [c85]Nikita Neveditsin, Ross MacDonald, Pawan Lingras, Trent Hillard:
Modeling User Feedback: Fuzzy sampling, Portability, and Degree of Annoyance. FUZZ-IEEE 2020: 1-7 - 2019
- [j41]Hong Yu, Yun Chen, Pawan Lingras, Guoyin Wang:
A three-way cluster ensemble approach for large-scale data. Int. J. Approx. Reason. 115: 32-49 (2019) - [c84]Ross MacDonald, Nikita Neveditsin, Pawan Lingras, Zheng Qin, Trent Hillard:
Sampling Using Fuzzy and Crisp Clustering to Improve Recall of Building Comfort Feedback. FUZZ-IEEE 2019: 1-6 - [c83]Ross MacDonald, Nikita Neveditsin, Pawan Lingras, Trent Hillard:
Effect of Maximizing Recall and Agglomeration of Feedback on Accuracy. IFSA/NAFIPS 2019: 351-361 - 2014
- [j34]Pawan Lingras, Min Chen, Duoqian Miao:
Qualitative and quantitative combinations of crisp and rough clustering schemes using dominance relations. Int. J. Approx. Reason. 55(1): 238-258 (2014) - [c72]Georg Peters, Pawan Lingras:
Analysis of User-Weighted π Rough k-Means. RSKT 2014: 547-556 - 2013
- [j32]Georg Peters, Fernando A. Crespo, Pawan Lingras, Richard Weber:
Soft clustering - Fuzzy and rough approaches and their extensions and derivatives. Int. J. Approx. Reason. 54(2): 307-322 (2013) - [c63]Manish R. Joshi, Pawan Lingras:
Enhancing Rough Clustering with Outlier Detection Based on Evidential Clustering. RSFDGrC 2013: 127-137 - [p3]Pawan Lingras, Parag Bhalchandra, Cory J. Butz, S. Asharaf:
Rough Support Vectors: Classification, Regression, Clustering. Rough Sets and Intelligent Systems (1) 2013: 491-515 - [e9]Sheela Ramanna, Pawan Lingras, Chattrakul Sombattheera, Aneesh Krishna:
Multi-disciplinary Trends in Artificial Intelligence - 7th International Workshop, MIWAI 2013, Krabi, Thailand, December 9-11, 2013. Proceedings. Lecture Notes in Computer Science 8271, Springer 2013, ISBN 978-3-642-44948-2 [contents] - [e8]Pawan Lingras, Marcin Wolski, Chris Cornelis, Sushmita Mitra, Piotr Wasilewski:
Rough Sets and Knowledge Technology - 8th International Conference, RSKT 2013, Halifax, NS, Canada, October 11-14, 2013, Proceedings. Lecture Notes in Computer Science 8171, Springer 2013, ISBN 978-3-642-41298-1 [contents] - [i2]S. K. Michael Wong, Y. Y. Yao, Pawan Lingras:
Compatibility of Quantitative and Qualitative Representations of Belief. CoRR abs/1303.5758 (2013) - [i1]S. K. Michael Wong, Pawan Lingras:
Combination of Evidence Using the Principle of Minimum Information Gain. CoRR abs/1304.1135 (2013) - 2012
- [j31]Manish R. Joshi, Pawan Lingras, C. Raghavendra Rao:
Correlating Fuzzy and Rough Clustering. Fundam. Informaticae 115(2-3): 233-246 (2012) - [c59]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 - [c55]Manish R. Joshi, Pawan Lingras:
Evidential Clustering or Rough Clustering: The Choice Is Yours. RSKT 2012: 123-128 - 2011
- [j30]Cory J. Butz, Ken Konkel, Pawan Lingras:
Join tree propagation utilizing both arc reversal and variable elimination. Int. J. Approx. Reason. 52(7): 948-959 (2011) - [j28]Tianrui Li, Pawan Lingras, Yuefeng Li, Joseph P. Herbert:
Computational Intelligence in Decision Making. Int. J. Comput. Intell. Syst. 4(1) (2011) - [j27]Pawan Lingras, Manish R. Joshi:
Experimental Comparison of Iterative Versus Evolutionary Crisp and Rough Clustering. Int. J. Comput. Intell. Syst. 4(1): 12-28 (2011) - [j26]Peng Zhang, Manish R. Joshi, Pawan Lingras:
Use of Stability and Seasonality Analysis for Optimal Inventory Prediction Models. J. Intell. Syst. 20(2): 147-166 (2011) - [j25]Pawan Lingras, Cory J. Butz:
Conservative and aggressive rough SVR modeling. Theor. Comput. Sci. 412(42): 5885-5901 (2011) - [j23]Pawan Lingras, Georg Peters:
Rough clustering. WIREs Data Mining Knowl. Discov. 1(1): 64-72 (2011) - [c52]Peng Zhang, Manish R. Joshi, Pawan Lingras:
Clustering of Products to Identify Optimal Inventory Prediction Models. IICAI 2011: 451-464 - [c51]Pawan Lingras, Parag Bhalchandra, Santosh Khamitkar, Satish Mekewad, Ravindra Rathod:
Crisp and Soft Clustering of Mobile Calls. MIWAI 2011: 147-158 - [c49]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 - [e7]Cory J. Butz, Pawan Lingras:
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 [contents] - 2010
- [j22]Pawan Lingras, Cory J. Butz:
Rough support vector regression. Eur. J. Oper. Res. 206(2): 445-455 (2010) - [c47]Manish R. Joshi, Pawan Lingras, Yiyu Yao, Virendrakumar C. Bhavsar:
Rough, fuzzy, interval clustering for web usage mining. ISDA 2010: 397-402 - [c44]Manish R. Joshi, Pawan Lingras, C. Raghavendra Rao:
Analysis of Rough and Fuzzy Clustering. RSKT 2010: 679-686 - [p2]Cory J. Butz, Wen Yan, Pawan Lingras, Y. Y. Yao:
The CPT Structure of Variable Elimination in Discrete Bayesian Networks. Advances in Intelligent Information Systems 2010: 245-257 - [e5]Aijun An, Pawan Lingras, Sheila Petty, Runhe Huang:
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 [contents] - [e4]Jian Yu, Salvatore Greco, Pawan Lingras, Guoyin Wang, Andrzej Skowron:
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 [contents] - [e3]James F. Peters, Andrzej Skowron, Roman Slowinski, Pawan Lingras, Duoqian Miao, Shusaku Tsumoto:
Transactions on Rough Sets XII. Lecture Notes in Computer Science 6190, Springer 2010, ISBN 978-3-642-14466-0 [contents] - 2009
- [j21]Pawan Lingras, Min Chen, Duoqian Miao:
Semi-supervised Rough Cost/Benefit Decisions. Fundam. Informaticae 94(2): 233-244 (2009) - [j20]Cory J. Butz, Junying Chen, Ken Konkel, Pawan Lingras:
A formal comparison of variable elimination and arc reversal in Bayesian network inference. Intell. Decis. Technol. 3(3): 173-180 (2009) - [j19]Pawan Lingras, Min Chen, Duoqian Miao:
Rough Cluster Quality Index Based on Decision Theory. IEEE Trans. Knowl. Data Eng. 21(7): 1014-1026 (2009) - [c41]Cory J. Butz, Junying Chen, Ken Konkel, Pawan Lingras:
A Comparative Study of Variable Elimination and Arc Reversal in Bayesian Network Inference. FLAIRS 2009 - [c40]Cory J. Butz, Ken Konkel, Pawan Lingras:
Join Tree Propagation Utilizing Both Arc Reversal and Variable Elimination. FLAIRS 2009 - [c39]Manish R. Joshi, Virendrakumar C. Bhavsar, Pawan Lingras:
An Algorithm for the Estimation of a Time Period of 2-Sequences. IICAI 2009: 71-88 - [c38]Manish R. Joshi, Pawan Lingras:
Evolutionary and Iterative Crisp and Rough Clustering I: Theory. PReMI 2009: 615-620 - [c37]Manish R. Joshi, Pawan Lingras:
Evolutionary and Iterative Crisp and Rough Clustering II: Experiments. PReMI 2009: 621-627 - [c36]Manish R. Joshi, Rabi Nanda Bhaumik, Pawan Lingras, Nitin Patil, Ambuja Salgaonkar, Dominik Slezak:
Rough Set Year in India 2009. RSFDGrC 2009: 67-68 - [c34]Yiyu Yao, Pawan Lingras, Ruizhi Wang, Duoqian Miao:
Interval Set Cluster Analysis: A Re-formulation. RSFDGrC 2009: 398-405 - 2008
- [b1]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 - [c32]Cory J. Butz, Pawan Lingras, Ken Konkel:
A Web-Based Interface for Hiding Bayesian Network Inference. ISMIS 2008: 612-617 - [c31]Pawan Lingras, Min Chen, Duoqian Miao:
Precision of Rough Set Clustering. RSCTC 2008: 369-378 - [c30]Pawan Lingras, Min Chen, Duoqian Miao:
Rough Multi-category Decision Theoretic Framework. RSKT 2008: 676-683 - 2007
- [j18]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) - [c29]Pawan Lingras, Richard Jensen:
Survey of Rough and Fuzzy Hybridization. FUZZ-IEEE 2007: 1-6 - [c27]Pawan Lingras, Cory J. Butz:
Precision and Recall in Rough Support Vector Machines. GrC 2007: 654-658 - [e1]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. Lecture Notes in Computer Science 4481, Springer 2007, ISBN 978-3-540-72457-5 [contents] - 2005
- [j15]Chad West, Stephanie MacDonald, Pawan Lingras, Greg Adams:
Relationship between Product Based Loyalty and Clustering based on Supermarket Visit and Spending Patterns. Int. J. Comput. Sci. Appl. 2(2): 85-100 (2005) - [j14]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) - [c24]Pawan Lingras, Cory J. Butz:
Interval set representations of 1-v-r support vector machine multi-classifiers. GrC 2005: 193-198 - [c23]Cory J. Butz, Pawan Lingras:
On the Practical Irrelevance of Diverging Implication between Probabilistic Conditional Independence and Embedded Multivalued Dependency. IICAI 2005: 2464-2475 - [c22]Pawan Lingras, Cory J. Butz:
Reducing the Storage Requirements of 1-v-1 Support Vector Machine Multi-classifiers. RSFDGrC (2) 2005: 166-173 - 2004
- [j13]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. Int. J. Artif. Intell. Tools 13(3): 569-592 (2004) - [j12]Pawan Lingras, Chad West:
Interval Set Clustering of Web Users with Rough K-Means. J. Intell. Inf. Syst. 23(1): 5-16 (2004) - [j11]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 Intell. Agent Syst. 2(3): 217-225 (2004) - [c20]Pawan Lingras, Mofreh Hogo, Miroslav Snorek:
Temporal Cluster Migration Matrices for Web Usage Mining. Web Intelligence 2004: 441-444 - [c19]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 - 2003
- [c18]Pawan Lingras, Rui Yan, Chad West:
Fuzzy C-Means Clustering of Web Users for Educational Sites. AI 2003: 557-562 - [c17]Mofreh Hogo, Pawan Lingras, Miroslav Snorek:
Conventional Versus Interval Clustering Using Kohonen Networks. ICEIS (2) 2003: 250-257 - [c16]Pawan Lingras, Rui Yan, Adish Jain:
Clustering of Web Users: K-Means vs. Fuzzy C-Means. IICAI 2003: 1062-1073 - [c15]Pawan Lingras, Rui Yan, Mofreh Hogo:
Rough Set Based Clustering: Evolutionary, Neural, and Statistical Approaches. IICAI 2003: 1074-1087 - [c14]Chad West, Adish Jain, Pawan Lingras, Bill Leonard:
Supermarket Customer Attrition Analysis Based on Cluster Membership Patterns. IICAI 2003: 1132-1140 - [c13]Pawan Lingras, Mofreh Hogo, Miroslav Snorek, Bill Leonard:
Clustering Supermarket Customers Using Rough Set Based Kohonen Networks. ISMIS 2003: 169-173 - [c12]Pawan Lingras, Rui Yan, Chad West:
Comparison of Conventional and Rough K-Means Clustering. RSFDGrC 2003: 130-137 - [c11]Mofreh Hogo, Miroslav Snorek, Pawan Lingras:
Temporal Web Usage Mining. Web Intelligence 2003: 450-453 - 2002
- [c9]Pawan Lingras, Y. Y. Yao:
Time Complexity of Rough Clustering: GAs versus K-Means. Rough Sets and Current Trends in Computing 2002: 263-270 - 1998
- [j6]Y. Y. Yao, Pawan Lingras:
Interpretation of Belief Functions in The Theory of Rough Sets. Inf. Sci. 104(1-2): 81-106 (1998) - [j4]Pawan Lingras, Y. Y. Yao:
Data Mining Using Extensions of the Rough Set Model. J. Am. Soc. Inf. Sci. 49(5): 415-422 (1998) - 1994
- [j2]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
- [c5]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
- [c4]S. K. Michael Wong, Pawan Lingras, Yiyu Yao:
Propagation of Preference Relations in Qualitative Inference Networks. IJCAI 1991: 1204-1209 - [c3]S. K. Michael Wong, Pawan Lingras, Yiyu Yao:
Towards Implementing Valuation Based Systems with Relational Databases. ISMIS 1991: 172-182 - [c2]S. K. Michael Wong, Yiyu Yao, Pawan Lingras:
Compatibility of Quantitative and Qualitative Representations of Belief. UAI 1991: 418-424 - 1990
- [j1]Pawan Lingras, S. K. Michael Wong:
Two Perspectives of the Dempster-Shafer Theory of Belief Functions. Int. J. Man Mach. Stud. 33(4): 467-487 (1990) - 1988
- [c1]Pawan Lingras, S. K. Michael Wong:
An Optimistic Rule for Accumulation of Evidence. ISMIS 1988: 60-69
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