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ORCIDKamal Kant Bharadwaj
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- affiliation: Jawaharlal Nehru University, School of Computer and Systems Sciences, New Delhi, India
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2020 – today
- 2021
[j40]Nirmal Choudhary, Sonajharia Minz, Kamal Kant Bharadwaj:
Circle-based Group Recommendation in Social Networks. Soft Comput. 25(22): 13959-13973 (2021)- 2020
- [j39]Sonal Linda, Sonajharia Minz, Kamal Kant Bharadwaj:
Effective Context-Aware Recommendations Based on Context Weighting Using Genetic Algorithm and Alleviating Data Sparsity. Appl. Artif. Intell. 34(10): 730-753 (2020) - [j38]Ritu Meena, Kamal Kant Bharadwaj:
A Genetic Algorithm Approach for Group Recommender System Based on Partial Rankings. J. Intell. Syst. 29(1): 653-663 (2020) - [j37]Nirmal Choudhary, Sonajharia Minz, Kamal Kant Bharadwaj:
Negotiation framework for group recommendation based on fuzzy computational model of trust and distrust. Multim. Tools Appl. 79(37-38): 27337-27364 (2020)
2010 – 2019
- 2019
- [j36]Sonal Linda, Sonajharia Minz, Kamal Kant Bharadwaj:
Fuzzy-genetic approach to context-aware recommender systems based on the hybridization of collaborative filtering and reclusive method techniques. AI Commun. 32(2): 125-141 (2019) - [j35]Gaganmeet Kaur Awal, Kamal Kant Bharadwaj:
Leveraging collective intelligence for behavioral prediction in signed social networks through evolutionary approach. Inf. Syst. Frontiers 21(2): 417-439 (2019) - [j34]Nancy Girdhar
, Kamal Kant Bharadwaj:
Community Detection in Signed Social Networks Using Multiobjective Genetic Algorithm. J. Assoc. Inf. Sci. Technol. 70(8): 788-804 (2019) - [j33]Nirmal Choudhary, Kamal Kant Bharadwaj:
Evolutionary learning approach to multi-agent negotiation for group recommender systems. Multim. Tools Appl. 78(12): 16221-16243 (2019) - [j32]Nancy Girdhar, Sonajharia Minz, Kamal Kant Bharadwaj:
Link prediction in signed social networks based on fuzzy computational model of trust and distrust. Soft Comput. 23(22): 12123-12138 (2019) - 2018
- [j31]Pragya Dwivedi, Vibhor Kant, Kamal Kant Bharadwaj:
Learning path recommendation based on modified variable length genetic algorithm. Educ. Inf. Technol. 23(2): 819-836 (2018) - [j30]Vinti Agarwal, Kamal Kant Bharadwaj:
Recommending diverse friends in signed social networks based on adaptive soft consensus paradigm using variable length genetic algorithm. World Wide Web 21(5): 1285-1321 (2018) - [c31]Sonal Linda, Kamal Kant Bharadwaj:
A Decision Tree Based Context-Aware Recommender System. IHCI 2018: 293-305 - [c30]Nancy Girdhar, Kamal Kant Bharadwaj:
Mining of Influencers in Signed Social Networks: A Memetic Approach. IHCI 2018: 306-316 - [r1]Vinti Agarwal, Kamal Kant Bharadwaj:
Friends Recommendations in Dynamic Social Networks. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - 2017
- [j29]Ankita Verma, Kamal Kant Bharadwaj:
Identifying community structure in a multi-relational network employing non-negative tensor factorization and GA k-means clustering. WIREs Data Mining Knowl. Discov. 7(1) (2017) - 2016
- [c29]Nancy Girdhar, Kamal Kant Bharadwaj:
Signed Social Networks: A Survey. ICACDS 2016: 326-335 - [c28]Ankita Verma, Kamal Kant Bharadwaj:
Fuzzy Overlapping Community Detection in Multi-relational Networks. SoCPaR 2016: 656-666 - 2015
- [j28]Pragya Dwivedi, Kamal Kant Bharadwaj:
e-Learning recommender system for a group of learners based on the unified learner profile approach. Expert Syst. J. Knowl. Eng. 32(2): 264-276 (2015) - [j27]Vinti Agarwal, Kamal Kant Bharadwaj:
Predicting the dynamics of social circles in ego networks using pattern analysis and GA K-means clustering. WIREs Data Mining Knowl. Discov. 5(3): 113-141 (2015) - [c27]Ankita Verma, Kamal Kant Bharadwaj:
Discovering Communities in Heterogeneous Social Networks Based on Non-negative Tensor Factorization and Cluster Ensemble Approach. MIKE 2015: 150-160 - 2014
- [j26]Gaganmeet Kaur Awal, Kamal Kant Bharadwaj:
Team formation in social networks based on collective intelligence - an evolutionary approach. Appl. Intell. 41(2): 627-648 (2014) - [j25]Latha Banda, Kamal Kant Bharadwaj:
An Approach to Enhance the Quality of Recommendation Using Collaborative Tagging. Int. J. Comput. Intell. Syst. 7(4): 650-659 (2014) - [j24]Deepa Anand, Kamal Kant Bharadwaj:
Exploring graph-based global similarity estimates for quality recommendations. Int. J. Comput. Sci. Eng. 9(3): 188-197 (2014) - [j23]Shweta Tyagi, Kamal Kant Bharadwaj:
A Particle Swarm Optimization Approach to Fuzzy Case-based Reasoning in the Framework of Collaborative Filtering. Int. J. Rough Sets Data Anal. 1(1): 48-64 (2014) - [j22]Shweta Tyagi, Kamal Kant Bharadwaj:
A hybrid knowledge-based approach to collaborative filtering for improved recommendations. Int. J. Knowl. Based Intell. Eng. Syst. 18(2): 121-133 (2014) - [c26]Latha Banda, Kamal Kant Bharadwaj:
E-FCM Algorithms for Collaborative Tagging System. FICTA (1) 2014: 89-97 - 2013
- [j21]Pragya Dwivedi, Kamal Kant Bharadwaj:
Effective Trust-aware E-learning Recommender System based on Learning Styles and Knowledge Levels. J. Educ. Technol. Soc. 16(4): 201-216 (2013) - [j20]Vibhor Kant, Kamal Kant Bharadwaj:
Fuzzy Computational Models of Trust and Distrust for Enhanced Recommendations. Int. J. Intell. Syst. 28(4): 332-365 (2013) - [j19]Vibhor Kant, Kamal Kant Bharadwaj:
Integrating Collaborative and Reclusive Methods for Effective Recommendations: A Fuzzy Bayesian Approach. Int. J. Intell. Syst. 28(11): 1099-1123 (2013) - [j18]Deepa Anand, Kamal Kant Bharadwaj:
Pruning trust-distrust network via reliability and risk estimates for quality recommendations. Soc. Netw. Anal. Min. 3(1): 65-84 (2013) - [j17]Vinti Agarwal, Kamal Kant Bharadwaj:
A collaborative filtering framework for friends recommendation in social networks based on interaction intensity and adaptive user similarity. Soc. Netw. Anal. Min. 3(3): 359-379 (2013) - [j16]Shweta Tyagi, Kamal Kant Bharadwaj:
Enhancing collaborative filtering recommendations by utilizing multi-objective particle swarm optimization embedded association rule mining. Swarm Evol. Comput. 13: 1-12 (2013) - [c25]Pragya Dwivedi, Kamal Kant Bharadwaj:
A Fuzzy Approach to Multidimensional Context Aware e-Learning Recommender System. MIKE 2013: 600-610 - [c24]Ritu Meena, Kamal Kant Bharadwaj:
Group Recommender System Based on Rank Aggregation - An Evolutionary Approach. MIKE 2013: 663-676 - 2012
- [j15]K. S. Senthilkumar, Kamal Kant Bharadwaj:
Multi-robot exploration and terrain coverage in an unknown environment. Robotics Auton. Syst. 60(1): 123-132 (2012) - [c23]Arti Patidar, Vinti Agarwal, Kamal Kant Bharadwaj:
Predicting Friends and Foes in Signed Networks Using Inductive Inference and Social Balance Theory. ASONAM 2012: 384-388 - [c22]Vibhor Kant, Kamal Kant Bharadwaj:
A User-Oriented Content Based Recommender System Based on Reclusive Methods and Interactive Genetic Algorithm. BIC-TA (1) 2012: 543-554 - [c21]Pragya Dwivedi, Kamal Kant Bharadwaj:
e-learning recommender system for learners in online social networks through association retrieval. CUBE 2012: 676-681 - [c20]Shweta Tyagi, Kamal Kant Bharadwaj:
Enhanced New User Recommendations based on Quantitative Association Rule Mining. ANT/MobiWIS 2012: 102-109 - 2011
- [j14]Deepa Anand, Kamal Kant Bharadwaj:
Utilizing various sparsity measures for enhancing accuracy of collaborative recommender systems based on local and global similarities. Expert Syst. Appl. 38(5): 5101-5109 (2011) - [c19]Deepa Anand, Kamal Kant Bharadwaj:
Tackling the Sparsity Problem in Recommender Systems by Leveraging on Indirect User-User and Item-Item Similarity. IICAI 2011: 1390-1404 - [c18]Vibhor Kant, Kamal Kant Bharadwaj:
Incorporating Fuzzy Trust in Collaborative Filtering Based Recommender Systems. SEMCCO (1) 2011: 433-440 - [c17]Shweta Tyagi, Kamal Kant Bharadwaj:
A Collaborative Filtering Framework Based on Fuzzy Case-Based Reasoning. SocProS (1) 2011: 279-288 - 2010
- [j13]Kamal Kant Bharadwaj, Saroj Ratnoo:
A parallel genetic programming based intelligent miner for discovery of censored production rules with fuzzy hierarchy. Expert Syst. Appl. 37(6): 4601-4610 (2010) - [j12]K. S. Senthilkumar, Kamal Kant Bharadwaj:
Multi-Robot Terrain Coverage by Constructing Multiple Spanning Trees Simultaneously. Int. J. Robotics Autom. 25(3) (2010) - [j11]Saroj Ratnoo, Kamal Kant Bharadwaj:
Combining Rough Set and Evolutionary Approach for Automated Discovery of Censored Production Rules with Fuzzy Hierarchy. J. Intell. Syst. 19(1): 47-78 (2010) - [c16]Deepa Anand, Kamal Kant Bharadwaj:
Enhancing Accuracy of Recommender System through Adaptive Similarity Measures Based on Hybrid Features. ACIIDS (2) 2010: 1-10 - [c15]Madhu Kumari, Kamal Kant Bharadwaj:
Revenue Estimation and Quantification in Sponsored Search Auctions: An Inductive Learning Approach. ICDEM 2010: 242-244
2000 – 2009
- 2009
- [j10]Kamal Kant Bharadwaj, Mohammad Yahya H. Al-Shamri:
Fuzzy computational models for trust and reputation systems. Electron. Commer. Res. Appl. 8(1): 37-47 (2009) - [c14]Mohammad Yahya H. Al-Shamri, Kamal Kant Bharadwaj:
Collaborative Recommender Systems under Attack: A Similarity Computation Analysis. IICAI 2009: 1562-1580 - [c13]Saroj Ratnoo, Kamal Kant Bharadwaj:
Discovery of Exceptions: A Step towards Perfection. NSS 2009: 540-545 - 2008
- [j9]Mohammad Yahya H. Al-Shamri, Kamal Kant Bharadwaj:
Fuzzy-genetic approach to recommender systems based on a novel hybrid user model. Expert Syst. Appl. 35(3): 1386-1399 (2008) - [j8]Kamal Kant Bharadwaj, Rekha Kandwal:
Cumulative learning techniques in production rules with fuzzy hierarchy (PRFH) system. J. Exp. Theor. Artif. Intell. 20(2): 111-132 (2008) - 2007
- [c12]Kamal Kant Bharadwaj:
A parellel genetic algorithm approach for automated discovery of censored production rules. Artificial Intelligence and Applications 2007: 464-469 - [c11]Rekha Kandwal, Kamal Kant Bharadwaj:
Censor Updation during Dynamic Clustering of Hierarchical Censored Production Rules (HCPRs). FSKD (2) 2007: 224-229 - [c10]Mohammad Yahya H. Al-Shamri, Kamal Kant Bharadwaj:
A Hybrid Preference-based Recommender System Based on Fuzzy Concordance / Discordance Principle. IICAI 2007: 301-314 - [c9]Basheer M. Al-Maqaleh, Kamal Kant Bharadwaj:
Evolutionary Approach to Automated Discovery of Censored Production Rules with Fuzzy Hierarchy. IMECS 2007: 716-721 - 2006
- [c8]Rekha Kandwal, Kamal Kant Bharadwaj:
Cumulative growth of production rules with fuzzy hierarchy (PRFH). Artificial Intelligence and Soft Computing 2006: 40-45 - 2005
- [c7]Fadl Mutaher Ba-Alwi, Kamal Kant Bharadwaj:
Automated Discovery of Hierarchical Ripple-Down Rules (HRDRs). Artificial Intelligence and Applications 2005: 72-77 - [c6]Fadl Mutaher Ba-Alwi, Kamal Kant Bharadwaj:
Discovery of Production Rules with Fuzzy Hierarchy. WEC (2) 2005: 77-80 - [c5]Rekha Kandwal, Kamal Kant Bharadwaj:
A Cumulative Learning Approach to Data Mining Employing Censored Production Rules (CPRs). IEC (Prague) 2005: 294-298 - 2000
- [c4]José Demísio Simões da Silva, Paulo Ouvera Simoni, Kamal Kant Bharadwaj:
Multiple Correspondences in Stereo Vision under a Genetic Algorithm Approach. SIBGRAPI 2000: 52-59
1990 – 1999
- 1998
- [j7]N. K. Jain, Kamal Kant Bharadwaj:
Some learning techniques in hierarchical censored production rules (HCPRs) system. Int. J. Intell. Syst. 13(4): 319-344 (1998) - [c3]Kamal Kant Bharadwaj, José Demísio Simões da Silva:
Towards Integrating Hierarchical Censored Production Rule(HCPR) Based and Neural Networks. SBIA 1998: 121-130 - [c2]José Demísio Simões da Silva, Kamal Kant Bharadwaj:
Integration of Hierarchical Censored Production Rule (HCPR)-based System and Neural Networks. SBRN 1998: 73-78 - 1996
- [j6]Neerja, Kamal Kant Bharadwaj:
Calculus of fuzzy hierarchical censored production rules (FHCPRs). Int. J. Intell. Syst. 11(1): 1-25 (1996) - [j5]Nabil M. Hewahi, Kamal Kant Bharadwaj:
Bucket brigade algorithm for hierarchical censored production rule-based system. Int. J. Intell. Syst. 11(4): 197-225 (1996) - [c1]Kamal Kant Bharadwaj, Nabil M. Hewahi, Maria Augusta Brandao:
Adaptive Hierarchical Censored Production Rule-Based System: A Generic Algorithm Approach. SBIA 1996: 81-90 - 1995
- [j4]Kamal Kant Bharadwaj, R. Varshneya:
Parallelization of hierarchical censored production rules. Inf. Softw. Technol. 37(8): 453-460 (1995) - 1994
- [j3]Kamal Kant Bharadwaj, Neerja, G. C. Goel:
Hierarchical censored production rules (HCPRs) system employing the dempster-shafer uncertainty calculus. Inf. Softw. Technol. 36(3): 155-164 (1994) - 1992
- [j2]Kamal Kant Bharadwaj, N. K. Jain:
Hierarchical Censored Production Rules (HCPRs) system. Data Knowl. Eng. 8: 19-34 (1992) - [j1]Kamal Kant Bharadwaj, P. Srinivas:
Translation of Pascal programs for execution on Lisp-based machines. Inf. Softw. Technol. 34(7): 478-484 (1992)
Coauthor Index
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