Pawan Lingras

According to our database1, Pawan Lingras authored at least 124 papers between 1988 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2018
Fuzzy Clustering Ensemble for Prioritized Sampling Based on Average and Rough Patterns.
Proceedings of the Recent Trends and Future Technology in Applied Intelligence, 2018

2017
Clustering Ensemble for Prioritized Sampling Based on Average and Rough Patterns.
Proceedings of the Foundations of Intelligent Systems - 23rd International Symposium, 2017

Nonlinear classification, linear clustering, evolutionary semi-supervised three-way decisions: A comparison.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

2016
Meta-clustering of possibilistically segmented retail datasets.
Fuzzy Sets and Systems, 2016

Book Review: Cognitive Computing: Theory and Applications.
IEEE Intelligent Informatics Bulletin, 2016

Advances in Rough and Soft Clustering: Meta-Clustering, Dynamic Clustering, Data-Stream Clustering.
Proceedings of the Rough Sets - International Joint Conference, 2016

Evolutionary semi-supervised rough categorization of brain signals from a wearable headband.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Identifying users and activities with cognitive signal processing from a wearable headband.
Proceedings of the 15th IEEE International Conference on Cognitive Informatics & Cognitive Computing , 2016

2015
Fuzzy and Crisp Recursive Profiling of Online Reviewers and Businesses.
IEEE Trans. Fuzzy Systems, 2015

Semantically Segmented Clustering Based on Possibilistic and Rough Set Theories.
Int. J. Intell. Syst., 2015

Partially ordered rough ensemble clustering for multigranular representations.
Intell. Data Anal., 2015

Book Review: Big Data Analytics.
IEEE Intelligent Informatics Bulletin, 2015

Combining Rough Clustering Schemes as a Rough Ensemble.
Proceedings of the Rough Sets and Knowledge Technology - 10th International Conference, 2015

Visual Predictions of Traffic Conditions.
Proceedings of the Advances in Artificial Intelligence, 2015

2014
Iterative meta-clustering through granular hierarchy of supermarket customers and products.
Inf. Sci., 2014

Qualitative and quantitative combinations of crisp and rough clustering schemes using dominance relations.
Int. J. Approx. Reasoning, 2014

Analysis of User-Weighted π Rough k-Means.
Proceedings of the Rough Sets and Knowledge Technology - 9th International Conference, 2014

Semantically Enhanced Clustering in Retail Using Possibilistic K-Modes.
Proceedings of the Rough Sets and Knowledge Technology - 9th International Conference, 2014

Decremental Rough Possibilistic K-Modes.
Proceedings of the Adaptive and Intelligent Systems - Third International Conference, 2014

Rough possibilistic meta-clustering of retail datasets.
Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

2013
Rough Support Vectors: Classification, Regression, Clustering.
Proceedings of the Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam, 2013

Soft clustering - Fuzzy and rough approaches and their extensions and derivatives.
Int. J. Approx. Reasoning, 2013

Decremental Possibilistic K-Modes.
Proceedings of the Twelfth Scandinavian Conference on Artificial Intelligence, 2013

Recursive Profiles of Businesses and Reviewers on Yelp.com.
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2013

Belief Discernibility Matrix and Function for Incremental or Large Data.
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2013

Enhancing Rough Clustering with Outlier Detection Based on Evidential Clustering.
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2013

Incremental Possibilistic K-Modes.
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2013

Incremental Rough Possibilistic K-Modes.
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2013

A granular recursive fuzzy meta-clustering algorithm for social networks.
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

The k-modes method using possibility and rough set theories.
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

Exhaustive Search with Belief Discernibility Matrix and Function.
Proceedings of the Advances in Artificial Intelligence, 2013

The K-Modes Method under Possibilistic Framework.
Proceedings of the Advances in Artificial Intelligence, 2013

Comparison of Gene Co-expression Networks and Bayesian Networks.
Proceedings of the Intelligent Information and Database Systems - 5th Asian Conference, 2013

2012
Correlating Fuzzy and Rough Clustering.
Fundam. Inform., 2012

Heuristic for Attribute Selection Using Belief Discernibility Matrix.
Proceedings of the Rough Sets and Knowledge Technology - 7th International Conference, 2012

Evidential Clustering or Rough Clustering: The Choice Is Yours.
Proceedings of the Rough Sets and Knowledge Technology - 7th International Conference, 2012

RPKM: The Rough Possibilistic K-Modes.
Proceedings of the Foundations of Intelligent Systems - 20th International Symposium, 2012

Recursive meta-clustering in a granular network.
Proceedings of the 12th International Conference on Intelligent Systems Design and Applications, 2012

K-Modes Clustering Using Possibilistic Membership.
Proceedings of the Advances in Computational Intelligence, 2012

Propagation of knowledge from crisp and soft clustering through a granular hierarchy.
Proceedings of the 12th International Conference on Hybrid Intelligent Systems, 2012

2011
Rough clustering.
Wiley Interdiscip. Rev. Data Min. Knowl. Discov., 2011

Classification with Dynamic Reducts and Belief Functions.
Trans. Rough Sets, 2011

Conservative and aggressive rough SVR modeling.
Theor. Comput. Sci., 2011

Use of Stability and Seasonality Analysis for Optimal Inventory Prediction Models.
J. Intelligent Systems, 2011

Experimental Comparison of Iterative Versus Evolutionary Crisp and Rough Clustering.
Int. J. Comput. Intell. Syst., 2011

Computational Intelligence in Decision Making.
Int. J. Comput. Intell. Syst., 2011

Classification systems based on rough sets under the belief function framework.
Int. J. Approx. Reasoning, 2011

History of Set Theory and Its Extensions in the Context of Soft Computing.
Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

Comparing Clustering Schemes at Two Levels of Granularity for Mobile Call Mining.
Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

Crisp and Soft Clustering of Mobile Calls.
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2011

Clustering of Products to Identify Optimal Inventory Prediction Models.
Proceedings of the 5th Indian International Conference on Artificial Intelligence, 2011

Soft clustering from crisp clustering using granulation for mobile call mining.
Proceedings of the 2011 IEEE International Conference on Granular Computing, 2011

2010
The CPT Structure of Variable Elimination in Discrete Bayesian Networks.
Proceedings of the Advances in Intelligent Information Systems, 2010

Rough support vector regression.
European Journal of Operational Research, 2010

Analysis of Rough and Fuzzy Clustering.
Proceedings of the Rough Set and Knowledge Technology - 5th International Conference, 2010

A Comparison of Dynamic and Static Belief Rough Set Classifier.
Proceedings of the Rough Sets and Current Trends in Computing, 2010

Belief Rough Set Classification for web mining based on dynamic core.
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010

Rough, fuzzy, interval clustering for web usage mining.
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010

Rule Discovery Process Based on Rough Sets under the Belief Function Framework.
Proceedings of the Computational Intelligence for Knowledge-Based Systems Design, 2010

2009
Rough Cluster Quality Index Based on Decision Theory.
IEEE Trans. Knowl. Data Eng., 2009

A formal comparison of variable elimination and arc reversal in Bayesian network inference.
Intelligent Decision Technologies, 2009

Semi-supervised Rough Cost/Benefit Decisions.
Fundam. Inform., 2009

Evolutionary Rough K-Means Clustering.
Proceedings of the Rough Sets and Knowledge Technology, 4th International Conference, 2009

Interval Set Cluster Analysis: A Re-formulation.
Proceedings of the Rough Sets, 2009

Dynamic Reduct from Partially Uncertain Data Using Rough Sets.
Proceedings of the Rough Sets, 2009

Rough Set Year in India 2009.
Proceedings of the Rough Sets, 2009

Evolutionary and Iterative Crisp and Rough Clustering II: Experiments.
Proceedings of the Pattern Recognition and Machine Intelligence, 2009

Evolutionary and Iterative Crisp and Rough Clustering I: Theory.
Proceedings of the Pattern Recognition and Machine Intelligence, 2009

An Algorithm for the Estimation of a Time Period of 2-Sequences.
Proceedings of the 4th Indian International Conference on Artificial Intelligence, 2009

Join Tree Propagation Utilizing Both Arc Reversal and Variable Elimination.
Proceedings of the Twenty-Second International Florida Artificial Intelligence Research Society Conference, 2009

A Comparative Study of Variable Elimination and Arc Reversal in Bayesian Network Inference.
Proceedings of the Twenty-Second International Florida Artificial Intelligence Research Society Conference, 2009

Belief Rough Set Classifier.
Proceedings of the Advances in Artificial Intelligence, 2009

Rough K-medoids clustering using GAs.
Proceedings of the 8th IEEE International Conference on Cognitive Informatics, 2009

2008
Evolutionary Regression and Neural Imputations of Missing Values.
Proceedings of the Soft Computing Applications in Industry, 2008

Rough Multi-category Decision Theoretic Framework.
Proceedings of the Rough Sets and Knowledge Technology, Third International Conference, 2008

Precision of Rough Set Clustering.
Proceedings of the Rough Sets and Current Trends in Computing, 2008

A Web-Based Interface for Hiding Bayesian Network Inference.
Proceedings of the Foundations of Intelligent Systems, 17th International Symposium, 2008

Building an intelligent web - theory and practice: contains IBM DB2 Express-C9.
Jones and Bartlett Publishers, ISBN: 978-0-7637-4137-2, 2008

2007
Applications of Rough Set Based K-Means, Kohonen SOM, GA Clustering.
Trans. Rough Sets, 2007

Rough set based 1-v-1 and 1-v-r approaches to support vector machine multi-classification.
Inf. Sci., 2007

Using Speech Recognition and Intelligent Search Tools to Enhance Information Accessibility.
Proceedings of the Universal Access in Human-Computer Interaction. Applications and Services, 2007

Precision and Recall in Rough Support Vector Machines.
Proceedings of the 2007 IEEE International Conference on Granular Computing, 2007

Adaptive hyperlinks Using Page Access Sequences and Minimum Spanning Trees.
Proceedings of the FUZZ-IEEE 2007, 2007

Survey of Rough and Fuzzy Hybridization.
Proceedings of the FUZZ-IEEE 2007, 2007

2006
A New Paradigm for Intelligent Collision Avoidance via Interactive and Interdependent Generic Maneuvers.
Proceedings of the IEEE International Conference on Systems, 2006

2005
Temporal analysis of clusters of supermarket customers: conventional versus interval set approach.
Inf. Sci., 2005

Relationship between Product Based Loyalty and Clustering based on Supermarket Visit and Spending Patterns.
IJCSA, 2005

Statistical, Evolutionary, and Neurocomputing Clustering Techniques: Cluster-Based vs Object-Based Approaches.
Artif. Intell. Rev., 2005

Reducing the Storage Requirements of 1-v-1 Support Vector Machine Multi-classifiers.
Proceedings of the Rough Sets, 2005

On the Practical Irrelevance of Diverging Implication between Probabilistic Conditional Independence and Embedded Multivalued Dependency.
Proceedings of the 2nd Indian International Conference on Artificial Intelligence, 2005

Interval set representations of 1-v-r support vector machine multi-classifiers.
Proceedings of the 2005 IEEE International Conference on Granular Computing, 2005

2004
Interval set clustering of web users using modified Kohonen self-organizing maps based on the properties of rough sets.
Web Intelligence and Agent Systems, 2004

Interval Set Clustering of Web Users with Rough K-Means.
J. Intell. Inf. Syst., 2004

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, 2004

Web-based Support Systems (WSS): A Report of the WIC Canada Research Centre.
Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2004), 2004

Temporal Cluster Migration Matrices for Web Usage Mining.
Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2004), 2004

Analyzing the Performance of Genetically Designed Short-Term Traffic Prediction Models Based on Road Types and Functional Classes.
Proceedings of the Innovations in Applied Artificial Intelligence, 2004

2003
Genetic algorithms for rerouting shortest paths in dynamic and stochastic networks.
European Journal of Operational Research, 2003

Temporal Web Usage Mining.
Proceedings of the 2003 IEEE / WIC International Conference on Web Intelligence, 2003

Comparison of Conventional and Rough K-Means Clustering.
Proceedings of the Rough Sets, 2003

Clustering Supermarket Customers Using Rough Set Based Kohonen Networks.
Proceedings of the Foundations of Intelligent Systems, 14th International Symposium, 2003

Supermarket Customer Attrition Analysis Based on Cluster Membership Patterns.
Proceedings of the 1st Indian International Conference on Artificial Intelligence, 2003

Clustering of Web Users: K-Means vs. Fuzzy C-Means.
Proceedings of the 1st Indian International Conference on Artificial Intelligence, 2003

Rough Set Based Clustering: Evolutionary, Neural, and Statistical Approaches.
Proceedings of the 1st Indian International Conference on Artificial Intelligence, 2003

Conventional Versus Interval Clustering Using Kohonen Networks.
Proceedings of the ICEIS 2003, 2003

Fuzzy C-Means Clustering of Web Users for Educational Sites.
Proceedings of the Advances in Artificial Intelligence, 2003

2002
Time Complexity of Rough Clustering: GAs versus K-Means.
Proceedings of the Rough Sets and Current Trends in Computing, 2002

2001
Unsupervised Rough Set Classification Using GAs.
J. Intell. Inf. Syst., 2001

Fuzzy-rough and rough-fuzzy serial combinations in neurocomputing.
Neurocomputing, 2001

Application of Rough Genetic Algorithms.
Computational Intelligence, 2001

Time Delay Neural Networks Designed Using Genetic Algorithms for Short Term Inter-City Traffic Forecasting.
Proceedings of the Engineering of Intelligent Systems, 2001

1999
Rough Genetic Algorithms.
Proceedings of the New Directions in Rough Sets, 1999

1998
Data Mining Using Extensions of the Rough Set Model.
JASIS, 1998

Interpretation of Belief Functions in The Theory of Rough Sets.
Inf. Sci., 1998

Comparison of Neofuzzy and Rough Neural Networks.
Inf. Sci., 1998

1996
Evidential Comparisons Using Belief Functions, Rough Sets and Nonmonotonic Preferences.
Intelligent Automation & Soft Computing, 1996

1994
Representation of Qualitative User Preference by Quantitative Belief Functions.
IEEE Trans. Knowl. Data Eng., 1994

1993
Upper and Lower Entropies of Belief Functions Using Compatible Probability Functions.
Proceedings of the Methodologies for Intelligent Systems, 7th International Symposium, 1993

Combination of Evidence in Rough Set Theory.
Proceedings of the Computing and Information, 1993

1991
Compatibility of Quantitative and Qualitative Representations of Belief.
Proceedings of the UAI '91: Proceedings of the Seventh Annual Conference on Uncertainty in Artificial Intelligence, 1991

Towards Implementing Valuation Based Systems with Relational Databases.
Proceedings of the Methodologies for Intelligent Systems, 6th International Symposium, 1991

Propagation of Preference Relations in Qualitative Inference Networks.
Proceedings of the 12th International Joint Conference on Artificial Intelligence. Sydney, 1991

1990
Two Perspectives of the Dempster-Shafer Theory of Belief Functions.
International Journal of Man-Machine Studies, 1990

1988
An Optimistic Rule for Accumulation of Evidence.
Proceedings of the Methodologies for Intelligent Systems, 1988


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