Pattern Clustering: An Artificial Intelligence Approach. - B. Shekar; M. Narasimha Murty; G. Krishna (IJCAI, 1987)

A knowledge-based clustering scheme. - B. Shekar; M. Narasimha Murty; G. Krishna (Pattern Recognit. Lett., 1987)

Knowledge-based learning using Conceptual Transformers. - B. Shekar; M. Narasimha Murty; G. Krishna (J. Intell. Robotic Syst., 1989)

Structural aspects of semantic-directed clusters. - B. Shekar; M. Narasimha Murty; G. Krishna (Pattern Recognit., 1989)

The Function-Acquisition Paradigm in a Knowledge-Based Concept-Synthesis Environment. - B. Shekar; M. Narasimha Murty; G. Krishna (ALT, 1990)

A knowledge-based approach to pattern generation. - B. Shekar; M. Narasimha Murty; G. Krishna (Pattern Recognit., 1990)

Strategic decision-making processes: network-based representation and stochastic simulation. - V. Srinivas; B. Shekar (Decis. Support Syst., 1997)

Interrelationships among fuzzy preference-based choice functions and significance of rationality conditions: A taxonomic and intuitive perspective. - Pankaj Kulshreshtha; B. Shekar (Fuzzy Sets Syst., 2000)

A Fuzzy Relatedness Measure for Determining Interestingness of Association Rules. - B. Shekar; Rajesh Natarajan (HIS, 2002)

A Fuzzy-Graph-Based Approach to the Determination of Interestingness of Association Rules. - B. Shekar; Rajesh Natarajan (PAKM, 2002)

A Transaction-Based Neighbourhood-Driven Approach to Quantifying Interestingness of Association Rules. - B. Shekar; Rajesh Natarajan (ICDM, 2004)

A Framework for Evaluating Knowledge-Based Interestingness of Association Rules. - B. Shekar; Rajesh Natarajan (Fuzzy Optim. Decis. Mak., 2004)

A relatedness-based data-driven approach to determination of interestingness of association rules. - Rajesh Natarajan; B. Shekar (SAC, 2005)

Investigations into relatedness-based interestingness of association rules: A transaction-driven analysis. - B. Shekar; Rajesh Natarajan (IRI, 2006)

Discovering Mentorship Information from Author Collaboration Networks. - V. Suresh; Narayanan Raghupathy; B. Shekar; C. E. Veni Madhavan (Discovery Science, 2007)

Understandability of Association Rules: A Heuristic Measure to Enhance Rule Quality. - Rajesh Natarajan; B. Shekar (Quality Measures in Data Mining, 2007)

Tightness: A novel heuristic and a clustering mechanism to improve the interpretation of association rules. - Rajesh Natarajan; B. Shekar (IRI, 2008)

Interesting Knowledge Patterns in Databases. - Rajesh Natarajan; B. Shekar (Database Technologies: Concepts, Methodologies, Tools, and Applications, 2009)

Managing Complexity in Aircraft Design Using Design Structure Matrix. - B. Shekar; R. Venkataram; B. M. Satish (Concurr. Eng. Res. Appl., 2011)

Knowledge Patterns in Databases. - Rajesh Natarajan; B. Shekar (Encyclopedia of Knowledge Management, 2011)

Mining affordance-based substitution rules: A dynamic taxonomy approach. - Rupal Sethi; B. Shekar (ICDIM, 2017)

Mining Substitution Rules: A Knowledge-based Approach using Dynamic Ontologies. - Rupal Sethi; B. Shekar (ICAART (2), 2018)