Adaptive fuzzy partition in database mining: application to olfaction

Data Science Journal

F Ros¹  JR Chrétien¹  M Pintore¹  K Audouze¹ 

[1] Laboratory of Chemometrics & BioInformatics, University of Orléans

关键词: Fuzzy Logic;    Structure-Activity Relationship;    Genetic Algorithm;    olfactory compounds;   

DOI  :  10.2481/dsj.1.99

学科分类：计算机科学（综合）

来源: Ubiquity Press Ltd.

【 摘 要 】

References(44)A data set of 412 olfactory compounds, divided into animal, camphoraceous, ethereal and fatty olfaction classes, was submitted to an analysis by a Fuzzy Logic procedure called Adaptive Fuzzy Partition (AFP).This method aims to establish molecular descriptor/chemical activity relationships by dynamically dividing the descriptor space into a set of fuzzily partitioned subspaces. The ability of these AFP models to classify the four olfactory notes was validated after dividing the data set compounds into training and test sets, including 310 and 102 molecules, respectively. The main olfactory note was correctly predicted for 83 % of the test set compounds.

【 授权许可】

Unknown