B. Shekar

22 papers A* 2B 2C 1Misc 3Journal 8Unranked 3
YearRankTypeTitle / Venue / Authors
2018 — conf
Mining Substitution Rules: A Knowledge-based Approach using Dynamic Ontologies.
ICAART (2)
Rupal Sethi, B. Shekar
2017 — conf
Mining affordance-based substitution rules: A dynamic taxonomy approach.
ICDIM
Rupal Sethi, B. Shekar
2011 — ch.
Knowledge Patterns in Databases.
Encyclopedia of Knowledge Management
Rajesh Natarajan, B. Shekar
2011 J jnl
Managing Complexity in Aircraft Design Using Design Structure Matrix.
Concurr. Eng. Res. Appl.
B. Shekar, R. Venkataram, B. M. Satish
2009 — ch.
Interesting Knowledge Patterns in Databases.
Database Technologies: Concepts, Methodologies, Tools, and Applications
Rajesh Natarajan, B. Shekar
2008 Misc conf
Tightness: A novel heuristic and a clustering mechanism to improve the interpretation of association rules.
IRI
Rajesh Natarajan, B. Shekar
2007 B conf
Discovering Mentorship Information from Author Collaboration Networks.
Discovery Science
V. Suresh, Narayanan Raghupathy, B. Shekar, C. E. Veni Madhavan
2007 — ch.
Understandability of Association Rules: A Heuristic Measure to Enhance Rule Quality.
Quality Measures in Data Mining
Rajesh Natarajan, B. Shekar
2006 Misc conf
Investigations into relatedness-based interestingness of association rules: A transaction-driven analysis.
IRI
B. Shekar, Rajesh Natarajan
2005 Misc conf
A relatedness-based data-driven approach to determination of interestingness of association rules.
SAC
Rajesh Natarajan, B. Shekar
2004 J jnl
A Framework for Evaluating Knowledge-Based Interestingness of Association Rules.
Fuzzy Optim. Decis. Mak.
B. Shekar, Rajesh Natarajan
2004 A* conf
A Transaction-Based Neighbourhood-Driven Approach to Quantifying Interestingness of Association Rules.
ICDM
B. Shekar, Rajesh Natarajan
2002 C conf
A Fuzzy Relatedness Measure for Determining Interestingness of Association Rules.
HIS
B. Shekar, Rajesh Natarajan
2002 — conf
A Fuzzy-Graph-Based Approach to the Determination of Interestingness of Association Rules.
PAKM
B. Shekar, Rajesh Natarajan
2000 J jnl
Interrelationships among fuzzy preference-based choice functions and significance of rationality conditions: A taxonomic and intuitive perspective.
Fuzzy Sets Syst.
Pankaj Kulshreshtha, B. Shekar
1997 J jnl
Strategic decision-making processes: network-based representation and stochastic simulation.
Decis. Support Syst.
V. Srinivas, B. Shekar
1990 J jnl
A knowledge-based approach to pattern generation.
Pattern Recognit.
B. Shekar, M. Narasimha Murty, G. Krishna
1990 B conf
The Function-Acquisition Paradigm in a Knowledge-Based Concept-Synthesis Environment.
ALT
B. Shekar, M. Narasimha Murty, G. Krishna
1989 J jnl
Knowledge-based learning using Conceptual Transformers.
J. Intell. Robotic Syst.
B. Shekar, M. Narasimha Murty, G. Krishna
1989 J jnl
Structural aspects of semantic-directed clusters.
Pattern Recognit.
B. Shekar, M. Narasimha Murty, G. Krishna
1987 J jnl
A knowledge-based clustering scheme.
Pattern Recognit. Lett.
B. Shekar, M. Narasimha Murty, G. Krishna
1987 A* conf
Pattern Clustering: An Artificial Intelligence Approach.
IJCAI
B. Shekar, M. Narasimha Murty, G. Krishna