2008 |
13 | EE | Rajesh Natarajan,
B. Shekar:
Tightness: A novel heuristic and a clustering mechanism to improve the interpretation of association rules.
IRI 2008: 308-313 |
2007 |
12 | EE | V. Suresh,
Narayanan Raghupathy,
B. Shekar,
C. E. Veni Madhavan:
Discovering Mentorship Information from Author Collaboration Networks.
Discovery Science 2007: 197-208 |
11 | EE | Rajesh Natarajan,
B. Shekar:
Understandability of Association Rules: A Heuristic Measure to Enhance Rule Quality.
Quality Measures in Data Mining 2007: 179-203 |
2006 |
10 | | B. Shekar,
Rajesh Natarajan:
Investigations into relatedness-based interestingness of association rules: A transaction-driven analysis.
IRI 2006: 522-527 |
2005 |
9 | EE | Rajesh Natarajan,
B. Shekar:
A relatedness-based data-driven approach to determination of interestingness of association rules.
SAC 2005: 551-552 |
2004 |
8 | EE | B. Shekar,
Rajesh Natarajan:
A Transaction-Based Neighbourhood-Driven Approach to Quantifying Interestingness of Association Rules.
ICDM 2004: 194-201 |
2002 |
7 | | B. Shekar,
Rajesh Natarajan:
A Fuzzy Relatedness Measure for Determining Interestingness of Association Rules.
HIS 2002: 95-104 |
6 | EE | B. Shekar,
Rajesh Natarajan:
A Fuzzy-Graph-Based Approach to the Determination of Interestingness of Association Rules.
PAKM 2002: 377-388 |
1990 |
5 | | B. Shekar,
M. Narasimha Murty,
G. Krishna:
The Function-Acquisition Paradigm in a Knowledge-Based Concept-Synthesis Environment.
ALT 1990: 97-108 |
4 | EE | B. Shekar,
M. Narasimha Murty,
G. Krishna:
A knowledge-based approach to pattern generation.
Pattern Recognition 23(11): 1299-1306 (1990) |
1989 |
3 | EE | B. Shekar,
M. Narasimha Murty,
G. Krishna:
Knowledge-based learning using Conceptual Transformers.
Journal of Intelligent and Robotic Systems 2(4): 361-379 (1989) |
2 | EE | B. Shekar,
M. Narasimha Murty,
G. Krishna:
Structural aspects of semantic-directed clusters.
Pattern Recognition 22(1): 65-74 (1989) |
1987 |
1 | | B. Shekar,
M. Narasimha Murty,
G. Krishna:
Pattern Clustering: An Artificial Intelligence Approach.
IJCAI 1987: 214-216 |