Browsing by Author "Amagasa, Toshiyuki"

Now showing items 1-3 of 3

Autonomic Active Learning Strategy Using Cluster-Based Ensemble Classifier for Concept Drifts in Imbalanced Data Stream

Halder, Bohnishikha; Hasan, K.M. Azharul; Amagasa, Toshiyuki; Ahmed, Md Manjur (Elsevier, 2023-11-30)

Systems are becoming autonomous nowadays. In real-world scenarios, the involvement of experts in generating a new decision has to be paid a certain amount of cost. Thus, in these conditions, creating a system with the least ...
Missing Information in Imbalanced Data Stream

Halder, Bohnishikha; Ahmed, Md Manjur; Amagasa, Toshiyuki; Isa, Nor Ashidi Mat; Faisal, Rahat Hossain; Rahman, Md. Mostafijur (Scopus, 2021)

From a real-world perspective, missing information is an ordinary scenario in data stream. Generally, missing data generate diverse problems in recognizing the pattern of data (i.e., clustering and classification). ...
Missing Information in Imbalanced Data Stream

Halder, Bohnishikha; Ahmed, Md Manjur; Amagasa, Toshiyuki; Mat Isa, Nor Ashidi; Faisal, Rahat Hossain; Rahman, Md. Mostafijur (Daffodil International University, 2021-08-16)

From a real-world perspective, missing information is an ordinary scenario in data stream. Generally, missing data generate diverse problems in recognizing the pattern of data (i.e., clustering and classification). ...

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