Kamal Kant Bharadwaj
Affiliations:- Jawaharlal Nehru University, School of Computer and Systems Sciences, New Delhi, India
 
  According to our database1,
  Kamal Kant Bharadwaj
  authored at least 72 papers
  between 1992 and 2021.
  
  
Collaborative distances:
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Bibliography
  2021
  2020
Negotiation framework for group recommendation based on fuzzy computational model of trust and distrust.
    
  
    Multim. Tools Appl., 2020
    
  
    J. Intell. Syst., 2020
    
  
Effective Context-Aware Recommendations Based on Context Weighting Using Genetic Algorithm and Alleviating Data Sparsity.
    
  
    Appl. Artif. Intell., 2020
    
  
  2019
Link prediction in signed social networks based on fuzzy computational model of trust and distrust.
    
  
    Soft Comput., 2019
    
  
Evolutionary learning approach to multi-agent negotiation for group recommender systems.
    
  
    Multim. Tools Appl., 2019
    
  
Community Detection in Signed Social Networks Using Multiobjective Genetic Algorithm.
    
  
    J. Assoc. Inf. Sci. Technol., 2019
    
  
Leveraging collective intelligence for behavioral prediction in signed social networks through evolutionary approach.
    
  
    Inf. Syst. Frontiers, 2019
    
  
Fuzzy-genetic approach to context-aware recommender systems based on the hybridization of collaborative filtering and reclusive method techniques.
    
  
    AI Commun., 2019
    
  
  2018
    Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018
    
  
Recommending diverse friends in signed social networks based on adaptive soft consensus paradigm using variable length genetic algorithm.
    
  
    World Wide Web, 2018
    
  
    Educ. Inf. Technol., 2018
    
  
    Proceedings of the Intelligent Human Computer Interaction - 10th International Conference, 2018
    
  
    Proceedings of the Intelligent Human Computer Interaction - 10th International Conference, 2018
    
  
  2017
Identifying community structure in a multi-relational network employing non-negative tensor factorization and GA k-means clustering.
    
  
    WIREs Data Mining Knowl. Discov., 2017
    
  
  2016
    Proceedings of the Eighth International Conference on Soft Computing and Pattern Recognition, 2016
    
  
    Proceedings of the Advances in Computing and Data Sciences, 2016
    
  
  2015
Predicting the dynamics of social circles in ego networks using pattern analysis and GA K-means clustering.
    
  
    WIREs Data Mining Knowl. Discov., 2015
    
  
e-Learning recommender system for a group of learners based on the unified learner profile approach.
    
  
    Expert Syst. J. Knowl. Eng., 2015
    
  
Discovering Communities in Heterogeneous Social Networks Based on Non-negative Tensor Factorization and Cluster Ensemble Approach.
    
  
    Proceedings of the Mining Intelligence and Knowledge Exploration, 2015
    
  
  2014
A hybrid knowledge-based approach to collaborative filtering for improved recommendations.
    
  
    Int. J. Knowl. Based Intell. Eng. Syst., 2014
    
  
A Particle Swarm Optimization Approach to Fuzzy Case-based Reasoning in the Framework of Collaborative Filtering.
    
  
    Int. J. Rough Sets Data Anal., 2014
    
  
    Int. J. Comput. Sci. Eng., 2014
    
  
    Int. J. Comput. Intell. Syst., 2014
    
  
Team formation in social networks based on collective intelligence - an evolutionary approach.
    
  
    Appl. Intell., 2014
    
  
    Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014, 2014
    
  
  2013
Enhancing collaborative filtering recommendations by utilizing multi-objective particle swarm optimization embedded association rule mining.
    
  
    Swarm Evol. Comput., 2013
    
  
Pruning trust-distrust network via reliability and risk estimates for quality recommendations.
    
  
    Soc. Netw. Anal. Min., 2013
    
  
A collaborative filtering framework for friends recommendation in social networks based on interaction intensity and adaptive user similarity.
    
  
    Soc. Netw. Anal. Min., 2013
    
  
Integrating Collaborative and Reclusive Methods for Effective Recommendations: A Fuzzy Bayesian Approach.
    
  
    Int. J. Intell. Syst., 2013
    
  
    Int. J. Intell. Syst., 2013
    
  
Effective Trust-aware E-learning Recommender System based on Learning Styles and Knowledge Levels.
    
  
    J. Educ. Technol. Soc., 2013
    
  
    Proceedings of the Mining Intelligence and Knowledge Exploration, 2013
    
  
    Proceedings of the Mining Intelligence and Knowledge Exploration, 2013
    
  
  2012
    Robotics Auton. Syst., 2012
    
  
    Proceedings of the 3rd International Conference on Ambient Systems, 2012
    
  
e-learning recommender system for learners in online social networks through association retrieval.
    
  
    Proceedings of the CUBE International IT Conference & Exhibition, 2012
    
  
A User-Oriented Content Based Recommender System Based on Reclusive Methods and Interactive Genetic Algorithm.
    
  
    Proceedings of Seventh International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012), 2012
    
  
Predicting Friends and Foes in Signed Networks Using Inductive Inference and Social Balance Theory.
    
  
    Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012
    
  
  2011
Utilizing various sparsity measures for enhancing accuracy of collaborative recommender systems based on local and global similarities.
    
  
    Expert Syst. Appl., 2011
    
  
    Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011, 2011
    
  
    Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2011
    
  
Tackling the Sparsity Problem in Recommender Systems by Leveraging on Indirect User-User and Item-Item Similarity.
  
    Proceedings of the 5th Indian International Conference on Artificial Intelligence, 2011
    
  
  2010
Combining Rough Set and Evolutionary Approach for Automated Discovery of Censored Production Rules with Fuzzy Hierarchy.
    
  
    J. Intell. Syst., 2010
    
  
    Int. J. Robotics Autom., 2010
    
  
A parallel genetic programming based intelligent miner for discovery of censored production rules with fuzzy hierarchy.
    
  
    Expert Syst. Appl., 2010
    
  
Revenue Estimation and Quantification in Sponsored Search Auctions: An Inductive Learning Approach.
    
  
    Proceedings of the Data Engineering and Management - Second International Conference, 2010
    
  
Enhancing Accuracy of Recommender System through Adaptive Similarity Measures Based on Hybrid Features.
    
  
    Proceedings of the Intelligent Information and Database Systems, 2010
    
  
  2009
    Electron. Commer. Res. Appl., 2009
    
  
    Proceedings of the Third International Conference on Network and System Security, 2009
    
  
Collaborative Recommender Systems under Attack: A Similarity Computation Analysis.
  
    Proceedings of the 4th Indian International Conference on Artificial Intelligence, 2009
    
  
  2008
Cumulative learning techniques in production rules with fuzzy hierarchy (PRFH) system.
    
  
    J. Exp. Theor. Artif. Intell., 2008
    
  
    Expert Syst. Appl., 2008
    
  
  2007
Evolutionary Approach to Automated Discovery of Censored Production Rules with Fuzzy Hierarchy.
  
    Proceedings of the International MultiConference of Engineers and Computer Scientists 2007, 2007
    
  
A Hybrid Preference-based Recommender System Based on Fuzzy Concordance / Discordance Principle.
  
    Proceedings of the 3rd Indian International Conference on Artificial Intelligence, 2007
    
  
Censor Updation during Dynamic Clustering of Hierarchical Censored Production Rules (HCPRs).
    
  
    Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007
    
  
A parellel genetic algorithm approach for automated discovery of censored production rules.
  
    Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2007
    
  
  2006
Cumulative growth of production rules with fuzzy hierarchy (PRFH).
  
    Proceedings of the Artificial Intelligence and Soft Computing, 2006
    
  
  2005
A Cumulative Learning Approach to Data Mining Employing Censored Production Rules (CPRs)
  
    Proceedings of the International Enformatika Conference, 2005
    
  
Discovery of Production Rules with Fuzzy Hierarchy.
  
    Proceedings of the Second World Enformatika Conference, 2005
    
  
Automated Discovery of Hierarchical Ripple-Down Rules (HRDRs).
  
    Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2005
    
  
  2000
    Proceedings of the 13th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2000), 2000
    
  
  1998
    Int. J. Intell. Syst., 1998
    
  
Integration of Hierarchical Censored Production Rule (HCPR)-based System and Neural Networks.
    
  
    Proceedings of the 5th Brazilian Symposium on Neural Networks (SBRN '98), 1998
    
  
Towards Integrating Hierarchical Censored Production Rule(HCPR) Based and Neural Networks.
    
  
    Proceedings of the Advances in Artificial Intelligence, 1998
    
  
  1996
    Int. J. Intell. Syst., 1996
    
  
    Int. J. Intell. Syst., 1996
    
  
Adaptive Hierarchical Censored Production Rule-Based System: A Generic Algorithm Approach.
    
  
    Proceedings of the Advances in Artificial Intelligence, 1996
    
  
  1995
    Inf. Softw. Technol., 1995
    
  
  1994
Hierarchical censored production rules (HCPRs) system employing the dempster-shafer uncertainty calculus.
    
  
    Inf. Softw. Technol., 1994
    
  
  1992
    Inf. Softw. Technol., 1992