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A similarity evaluation technique for data mining with an ...
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由 S Punronen 著作2000被引用 7 次 — Evaluation of similarity is very important in data mining with an ensemble of classifiers. Similarity between instances is used to recognize the nearest ...
A similarity evaluation technique for data mining with an ...
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This work considers two ways to derive similarities: a training set consisting predicates that define relationships within the three sets: the set of ...
A Similarity Evaluation Technique for Data Mining with an ...
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In the similarity evaluation we use a training set consisting predicates that define relationships within the three sets: the set of instances, the set of ...
(PDF) A similarity evaluation technique for data mining with ...
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This Classification using ensemble generally combines multiple classifiers that results in the improvement in the accuracy of the classification. Experimenting ...
A similarity evaluation technique for data mining with an ...
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由 S Punronen 著作2000被引用 7 次 — Evaluation of similarity is very important for this selection in data mining with an ensemble of classifiers. Similarity between instances is widely used to ...
A Similarity Evaluation Technique for Data Mining with Ensemble ...
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The primary goal of combining several classifiers is to obtain a more accurate prediction than can be obtained from any single classifier alone. Goal • The goal ...
A similarity-based approach for data stream classification
ResearchGate
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2024年10月22日 — Ensemble learning for network data stream classification using similarity and online genetic algorithm classifiers. Conference Paper. Sep 2016.
A Similarity Evaluation Technique for Data Mining with Ensemble ...
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The primary goal of combining several classifiers is to obtain a more accurate prediction than can be obtained from any single classifier alone. The Research ...
A similarity-based approach for data stream classification
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由 D Mena-Torres 著作2014被引用 71 次 — Statistical tests were used to evaluate the model performance, from two points of view: efficacy (classification rate) and efficiency (online response time).
A Comparative Evaluation of Ensemble Classifiers for ...
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由 A Subasi 著作2021被引用 23 次 — This paper compares the prediction accuracy of several machine learning classification algorithms and ensemble techniques.