Browsing by Subject "Data stream"

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 ...
An Efficient Approach for Mining Weighted Frequent Patterns from Data Stream

Ovi, Jesan Ahammed; Islam, Md Ashraful; Nima, Jannatul Ferdosh (2021 2nd International Conference for Emerging Technology, INCET, IEEE, 2021-06-22)

The discovery of frequent patterns from various datasets is a crucial aspect of modern data science. It helps to understand the relationship, dependence, structure, and diverse nature of data to take future actions like ...
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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