B. Shekar

According to our database, B. Shekar authored at least 22 papers between 1987 and 2018.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2018

Mining Substitution Rules: A Knowledge-based Approach using Dynamic Ontologies.

Rupal Sethi, B. Shekar

Proceedings of the 10th International Conference on Agents and Artificial Intelligence, 2018

2017

Mining affordance-based substitution rules: A dynamic taxonomy approach.

Rupal Sethi, B. Shekar

Proceedings of the Twelfth International Conference on Digital Information Management, 2017

2011

Knowledge Patterns in Databases.

Rajesh Natarajan, B. Shekar

Proceedings of the Encyclopedia of Knowledge Management, Second Edition, 2011

Managing Complexity in Aircraft Design Using Design Structure Matrix.

B. Shekar, R. Venkataram, B. M. Satish

Concurr. Eng. Res. Appl., 2011

2009

Interesting Knowledge Patterns in Databases.

Rajesh Natarajan, B. Shekar

Proceedings of the Database Technologies: Concepts, 2009

2008

Tightness: A novel heuristic and a clustering mechanism to improve the interpretation of association rules.

Rajesh Natarajan, B. Shekar

Proceedings of the IEEE International Conference on Information Reuse and Integration, 2008

2007

Understandability of Association Rules: A Heuristic Measure to Enhance Rule Quality.

Rajesh Natarajan, B. Shekar

Proceedings of the Quality Measures in Data Mining, 2007

Discovering Mentorship Information from Author Collaboration Networks.

V. Suresh, Narayanan Raghupathy, B. Shekar, C. E. Veni Madhavan

Proceedings of the Discovery Science, 10th International Conference, 2007

2006

Investigations into relatedness-based interestingness of association rules: A transaction-driven analysis.

B. Shekar, Rajesh Natarajan

Proceedings of the 2006 IEEE International Conference on Information Reuse and Integration, 2006

2005

A relatedness-based data-driven approach to determination of interestingness of association rules.

Rajesh Natarajan, B. Shekar

Proceedings of the 2005 ACM Symposium on Applied Computing (SAC), 2005

2004

A Framework for Evaluating Knowledge-Based Interestingness of Association Rules.

B. Shekar, Rajesh Natarajan

Fuzzy Optim. Decis. Mak., 2004

A Transaction-Based Neighbourhood-Driven Approach to Quantifying Interestingness of Association Rules.

B. Shekar, Rajesh Natarajan

Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

2002

A Fuzzy-Graph-Based Approach to the Determination of Interestingness of Association Rules.

B. Shekar, Rajesh Natarajan

Proceedings of the Practical Aspects of Knowledge Management, 4th International Conference, 2002

A Fuzzy Relatedness Measure for Determining Interestingness of Association Rules.

B. Shekar, Rajesh Natarajan

Proceedings of the Soft Computing Systems - Design, Management and Applications, 2002

2000

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

1997

Strategic decision-making processes: network-based representation and stochastic simulation.

V. Srinivas, B. Shekar

Decis. Support Syst., 1997

1990

A knowledge-based approach to pattern generation.

B. Shekar, M. Narasimha Murty, G. Krishna

Pattern Recognit., 1990

The Function-Acquisition Paradigm in a Knowledge-Based Concept-Synthesis Environment.

B. Shekar, M. Narasimha Murty, G. Krishna

Proceedings of the Algorithmic Learning Theory, First International Workshop, 1990

1989

Structural aspects of semantic-directed clusters.

B. Shekar, M. Narasimha Murty, G. Krishna

Pattern Recognit., 1989

Knowledge-based learning using Conceptual Transformers.

B. Shekar, M. Narasimha Murty, G. Krishna

J. Intell. Robotic Syst., 1989

1987

A knowledge-based clustering scheme.

B. Shekar, M. Narasimha Murty, G. Krishna

Pattern Recognit. Lett., 1987

Pattern Clustering: An Artificial Intelligence Approach.

B. Shekar, M. Narasimha Murty, G. Krishna

Proceedings of the 10th International Joint Conference on Artificial Intelligence. Milan, 1987