2024
DOI: 10.11591/ijeecs.v33.i1.pp248-260
|View full text |Cite
|
Sign up to set email alerts
|

Improving time efficiency in big data through progressive sampling-based classification model

Nandita Bangera,
Kayarvizhy Kayarvizhy,
Shubham Luharuka
et al.

Abstract: <span>The proposed system aims to overcome challenges posed by large databases, data imbalance, heterogeneity, and multidimensionality through progressive sampling as a novel classification model. It leverages sampling techniques to enhance processing performance and overcome memory restrictions. The random forest regressor feature importance technique with the gini significance method is employed to identify important characteristics, reducing the data’s features for classification. The system utilizes … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 24 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?