B. Shekar - researchr alias

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Viewing Publication 1 - 21 from 21

2018

Mining Substitution Rules: A Knowledge-based Approach using Dynamic OntologiesRupal Sethi, B. Shekar. icaart 2018: 73-84 [doi]

2017

Mining affordance-based substitution rules: A dynamic taxonomy approachRupal Sethi, B. Shekar. icdim 2017: 222-227 [doi]

2011

Managing Complexity in Aircraft Design Using Design Structure MatrixB. Shekar, R. Venkataram, B. M. Satish. cera, 19(4):283-294, 2011. [doi]

2009

Interesting Knowledge Patterns in DatabasesRajesh Natarajan, B. Shekar. In John Erickson, editor, Database Technologies: Concepts, Methodologies, Tools, and Applications (4 Volumes). pages 1652-1662, IGI Global, 2009. [doi]

2008

Tightness: A novel heuristic and a clustering mechanism to improve the interpretation of association rulesRajesh Natarajan, B. Shekar. iri 2008: 308-313 [doi]

2007

Understandability of Association Rules: A Heuristic Measure to Enhance Rule QualityRajesh Natarajan, B. Shekar. In Fabrice Guillet, Howard J. Hamilton, editors, Quality Measures in Data Mining. Volume 43 of Studies in Computational Intelligence, pages 179-203, Springer, 2007. [doi]

Discovering Mentorship Information from Author Collaboration NetworksV. Suresh, Narayanan Raghupathy, B. Shekar, C. E. Veni Madhavan. dis 2007: 197-208 [doi]

2006

Investigations into relatedness-based interestingness of association rules: A transaction-driven analysisB. Shekar, Rajesh Natarajan. iri 2006: 522-527

2005

A relatedness-based data-driven approach to determination of interestingness of association rulesRajesh Natarajan, B. Shekar. SAC 2005: 551-552 [doi]

2004

A Framework for Evaluating Knowledge-Based Interestingness of Association RulesB. Shekar, Rajesh Natarajan. fodm, 3(2):157-185, 2004. [doi]

A Transaction-Based Neighbourhood-Driven Approach to Quantifying Interestingness of Association RulesB. Shekar, Rajesh Natarajan. icdm 2004: 194-201 [doi]

2002

A Fuzzy-Graph-Based Approach to the Determination of Interestingness of Association RulesB. Shekar, Rajesh Natarajan. pakm 2002: 377-388 [doi]

A Fuzzy Relatedness Measure for Determining Interestingness of Association RulesB. Shekar, Rajesh Natarajan. his 2002: 95-104

2000

Interrelationships among fuzzy preference-based choice functions and significance of rationality conditions: A taxonomic and intuitive perspectivePankaj Kulshreshtha, B. Shekar. fss, 109(3):429-445, 2000. [doi]

1997

Strategic decision-making processes: network-based representation and stochastic simulationV. Srinivas, B. Shekar. dss, 21(2):99-110, 1997. [doi]

1990

A knowledge-based approach to pattern generationB. Shekar, M. Narasimha Murty, G. Krishna. PR, 23(11):1299-1306, 1990. [doi]

The Function-Acquisition Paradigm in a Knowledge-Based Concept-Synthesis EnvironmentB. Shekar, M. Narasimha Murty, G. Krishna. alt 1990: 97-108

1989

Structural aspects of semantic-directed clustersB. Shekar, M. Narasimha Murty, G. Krishna. PR, 22(1):65-74, 1989. [doi]

Knowledge-based learning using Conceptual TransformersB. Shekar, M. Narasimha Murty, G. Krishna. jirs, 2(4):361-379, 1989. [doi]

1987

A knowledge-based clustering schemeB. Shekar, M. Narasimha Murty, G. Krishna. prl, 5(4):253-259, 1987. [doi]

Pattern Clustering: An Artificial Intelligence ApproachB. Shekar, M. Narasimha Murty, G. Krishna. IJCAI 1987: 214-216

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