An analysis on new hybrid parameter selection model performance over big data set
Parameter selection or attribute selection is one of the crucial tasks in the data analysis process. Incorrect selection of the important attribute might generate imprecise or event for a wrong decision. It is an advantage if the decision-maker could select and apply the best model that helps in ide...
Main Authors: | Fujita, H. (Author), Krejcar, O. (Author), Mohamad, M. (Author), Selamat, A. (Author), Wu, T. (Author) |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier B.V.,
2020
|
Subjects: | |
Online Access: | View Fulltext in Publisher View in Scopus |
Similar Items
-
Improving the classification performance on imbalanced data sets via new hybrid parameterisation model
by: Krejcar, O, et al.
Published: (2021) -
Enhancing Big Data Feature Selection Using a Hybrid Correlation-Based Feature Selection
by: Crespo, RG, et al.
Published: (2021) -
Overview of Big Data platforms
by: Gabriel Wróbel, et al.
Published: (2019-12-01) -
AHP Model for the Big Data Analytics Platform Selection
by: Martin Lněnička
Published: (2015-12-01) -
Big data governance, dynamic capability and decision-making effectiveness: Fuzzy sets approach
by: Majdi Al Saaideh Abbady, et al.
Published: (2019-07-01)