Fast rule-based bioactivity prediction using associative classification mining
نویسندگان
چکیده
منابع مشابه
Fast rule-based bioactivity prediction using associative classification mining
Relating chemical features to bioactivities is critical in molecular design and is used extensively in the lead discovery and optimization process. A variety of techniques from statistics, data mining and machine learning have been applied to this process. In this study, we utilize a collection of methods, called associative classification mining (ACM), which are popular in the data mining comm...
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Classification and association rule discovery are important data mining tasks. Using association rule discovery to construct classification systems, also known as associative classification, is a promising approach. In this paper, we survey different rule pruning methods used by associative classification techniques. Furthermore, we compare the effect of three pruning methods (database coverage...
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ژورنال
عنوان ژورنال: Journal of Cheminformatics
سال: 2012
ISSN: 1758-2946
DOI: 10.1186/1758-2946-4-29