Ensemble Classification for Drifting Concept
نویسندگان
چکیده
منابع مشابه
Ensemble Classification for Drifting Concept
Traditional data mining classifiers are used for mining the static data, in which incremental learning assumed data streams come under stationary distribution where data concepts remain unchanged. The concept of data can be changed at any time in real world application this refers to change in the class definitions over time. Classifier ensembles are rapidly gaining popularity in data mining Co...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2013
ISSN: 0975-8887
DOI: 10.5120/13908-1857