Identification of a Minimal Subset of Receptor Conformations for Improved Multiple Conformation Docking and Two-Step Scoring

2004 ◽  
Vol 44 (1) ◽  
pp. 88-96 ◽  
Author(s):  
Sukjoon Yoon ◽  
William J. Welsh
Keyword(s):  
Multiple Conformation ◽  
Minimal Subset

GRG: KNOWLEDGE DISCOVERY USING INFORMATION GENERALIZATION, INFORMATION REDUCTION, AND RULE GENERATION

1996 ◽  
Vol 05 (01n02) ◽  
pp. 99-112 ◽  
Author(s):  
NING SHAN ◽  
HOWARD J. HAMILTON ◽  
NICK CERCONE
Keyword(s):  
Information System ◽  
Knowledge Discovery ◽  
Relational Databases ◽  
Decision Rules ◽  
Reduction Technique ◽  
Second Step ◽  
Rule Generation ◽  
Information Reduction ◽  
General Rules ◽  
Minimal Subset

We present the three-step GRG approach for learning decision rules from large relational databases. In the first step, an attribute-oriented concept tree ascen sion technique is applied to generalize an information system. This step loses some information but substantially improves the efficiency of the following steps. In the second step, a reduction technique is applied to generate a minimalized information system called a reduct which contains a minimal subset of the generalized attributes and the smallest number of distinct tuples for those attributes. Finally, a set of maximally general rules are derived directly from the reduct. These rules can be used to interpret and understand the active mechanisms underlying the database.

On Dependence in Wille’s Contexts

1993 ◽  
Vol 19 (3-4) ◽  
pp. 343-353
Author(s):  
Jiři Novotný ◽  
Miroslav Novotný
Keyword(s):  
Information Systems ◽  
Minimal Subset ◽  
Dependence Space ◽  
The Given

A concept in Wille’s context can be generated starting with a set of features. The problem of finding a minimal subset of the given set of features that generates the same concept as the given one is solved using a suitable dependence space and constructing reducts of one of its subsets. This result can be applied to information systems where it enables to cancel superfluous values of attributes.

Robust Model Fitting Using Higher Than Minimal Subset Sampling

2016 ◽  
Vol 38 (2) ◽  
pp. 350-362 ◽  
Author(s):  
Ruwan B. Tennakoon ◽  
Alireza Bab-Hadiashar ◽  
Zhenwei Cao ◽  
Reza Hoseinnezhad ◽  
David Suter
Keyword(s):  
Model Fitting ◽  
Robust Model ◽  
Minimal Subset

scholarly journals Multiple conformation observed in catalytic serine of Bacillus subtilis lipase

2001 ◽  
Vol 41 (supplement) ◽  
pp. S37
Author(s):  
H. Kondo ◽  
M. Suzuki ◽  
Y. Nishimiya ◽  
K. Kawasaki
Keyword(s):  
Bacillus Subtilis ◽  
Multiple Conformation

Design and Specification of the Minimal Subset of an Operating System Family

1976 ◽  
Vol SE-2 (4) ◽  
pp. 301-307 ◽  
Author(s):  
D.L. Parnas ◽  
G. Handzel ◽  
H. Wurges
Keyword(s):  
Operating System ◽  
Minimal Subset
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