IRRELEVANT FEATURE AND RULE REMOVAL FOR STRUCTURAL ASSOCIATIVE CLASSIFICATION
نویسندگان
چکیده
منابع مشابه
Irrelevant Feature and Rule Removal for Structural Associative Classification Using Structure-Preserving Flat Representation
In the classifi cation task, the presence of irrelevant features can signifi cantly degrade the performance of classifi cation algorithms, in terms of additional processing time, more complex models and the likelihood that the models have poor generalization power due to the over fi tting problem. Practical applications of association rule mining often suffer from overwhelming number of rules t...
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ژورنال
عنوان ژورنال: Journal of Information and Communication Technology
سال: 2015
ISSN: 1675-414X,2180-3862
DOI: 10.32890/jict2015.14.0.8158