A two-tier hybrid parameterization framework for effective data classification
The classification process is a decision-making task. In order to obtain a good decision, the classification process needs to be conducted by following a standard framework or approach. The selection of a good parameterization method plays an important role in executing an effective parameterization...
發表在: | Frontiers in Artificial Intelligence and Applications |
---|---|
主要作者: | Mohamad M.; Selamat A. |
格式: | Conference paper |
語言: | English |
出版: |
IOS Press BV
2018
|
在線閱讀: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063374979&doi=10.3233%2f978-1-61499-900-3-321&partnerID=40&md5=b99cb61584af8c77494a6276dba6e3e4 |
相似書籍
-
CEO Characteristics, Ownership, and Earnings Management in Indonesian Public Listed Companies with Two-Tier Boards
由: Warganegara, et al.
出版: (2024) -
DATA INVESTIGATION OF PK-LQP AIRPLANE VERTICAL DEVIATION USING CLASS 1 AND TIER 1 DATASETS
由: Passarella R.; Nurmaini S.; Rachmatullah M.N.; Veny H.; Ubaya H.; Firdaus F.
出版: (2024) -
Enhancing big data feature selection using a hybrid correlation-based feature selection
由: Mohamad M.; Selamat A.; Krejcar O.; Crespo R.G.; Herrera-Viedma E.; Fujita H.
出版: (2021) -
An analysis on performance of different type classifiers in handling big data sets
由: Mohamad M.; Selamat A.
出版: (2019) -
Improving transformer failure classification on imbalanced DGA data using data-level techniques and machine learning
由: Azmi, et al.
出版: (2025)