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B. Shekar
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2010 – 2019
- 2018
- [c11]Rupal Sethi, B. Shekar:
Mining Substitution Rules: A Knowledge-based Approach using Dynamic Ontologies. ICAART (2) 2018: 73-84 - 2017
- [c10]Rupal Sethi, B. Shekar:
Mining affordance-based substitution rules: A dynamic taxonomy approach. ICDIM 2017: 222-227 - 2011
- [j8]B. Shekar, R. Venkataram, B. M. Satish:
Managing Complexity in Aircraft Design Using Design Structure Matrix. Concurr. Eng. Res. Appl. 19(4): 283-294 (2011) - [r1]Rajesh Natarajan, B. Shekar:
Knowledge Patterns in Databases. Encyclopedia of Knowledge Management 2011: 842-852
2000 – 2009
- 2009
- [p2]Rajesh Natarajan, B. Shekar:
Interesting Knowledge Patterns in Databases. Database Technologies: Concepts, Methodologies, Tools, and Applications 2009: 1652-1662 - 2008
- [c9]Rajesh Natarajan, B. Shekar:
Tightness: A novel heuristic and a clustering mechanism to improve the interpretation of association rules. IRI 2008: 308-313 - 2007
- [c8]V. Suresh, Narayanan Raghupathy, B. Shekar, C. E. Veni Madhavan:
Discovering Mentorship Information from Author Collaboration Networks. Discovery Science 2007: 197-208 - [p1]Rajesh Natarajan, B. Shekar:
Understandability of Association Rules: A Heuristic Measure to Enhance Rule Quality. Quality Measures in Data Mining 2007: 179-203 - 2006
- [c7]B. Shekar, Rajesh Natarajan:
Investigations into relatedness-based interestingness of association rules: A transaction-driven analysis. IRI 2006: 522-527 - 2005
- [c6]Rajesh Natarajan
, B. Shekar:
A relatedness-based data-driven approach to determination of interestingness of association rules. SAC 2005: 551-552 - 2004
- [j7]B. Shekar, Rajesh Natarajan
A Framework for Evaluating Knowledge-Based Interestingness of Association Rules. Fuzzy Optim. Decis. Mak. 3(2): 157-185 (2004) - [c5]B. Shekar, Rajesh Natarajan
A Transaction-Based Neighbourhood-Driven Approach to Quantifying Interestingness of Association Rules. ICDM 2004: 194-201 - 2002
- [c4]B. Shekar, Rajesh Natarajan:
A Fuzzy Relatedness Measure for Determining Interestingness of Association Rules. HIS 2002: 95-104 - [c3]B. Shekar, Rajesh Natarajan:
A Fuzzy-Graph-Based Approach to the Determination of Interestingness of Association Rules. PAKM 2002: 377-388 - 2000
- [j6]Pankaj Kulshreshtha, B. Shekar:
Interrelationships among fuzzy preference-based choice functions and significance of rationality conditions: A taxonomic and intuitive perspective. Fuzzy Sets Syst. 109(3): 429-445 (2000)
1990 – 1999
- 1997
- [j5]V. Srinivas, B. Shekar:
Strategic decision-making processes: network-based representation and stochastic simulation. Decis. Support Syst. 21(2): 99-110 (1997) - 1990
- [j4]B. Shekar, M. Narasimha Murty, G. Krishna:
A knowledge-based approach to pattern generation. Pattern Recognit. 23(11): 1299-1306 (1990) - [c2]B. Shekar, M. Narasimha Murty, G. Krishna:
The Function-Acquisition Paradigm in a Knowledge-Based Concept-Synthesis Environment. ALT 1990: 97-108
1980 – 1989
- 1989
- [j3]B. Shekar, M. Narasimha Murty, G. Krishna:
Knowledge-based learning using Conceptual Transformers. J. Intell. Robotic Syst. 2(4): 361-379 (1989) - [j2]B. Shekar, M. Narasimha Murty, G. Krishna:
Structural aspects of semantic-directed clusters. Pattern Recognit. 22(1): 65-74 (1989) - 1987
- [j1]B. Shekar, M. Narasimha Murty, G. Krishna:
A knowledge-based clustering scheme. Pattern Recognit. Lett. 5(4): 253-259 (1987) - [c1]B. Shekar, M. Narasimha Murty, G. Krishna:
Pattern Clustering: An Artificial Intelligence Approach. IJCAI 1987: 214-216
Coauthor Index
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