Big Data Analysis of Lung Cancer Dataset Using Classification
Background of this study was among cancers; lung cancer is a major killer on a global scale. It is essential to accurately classify cancer subtypes in order to determine effective therapy options for lung cancer, a common and fatal disease. The methods used in the study were classification algorithm...
Saved in:
| Main Authors: | Tannady Hendy, Fernandes Andry Johanes, Susanto William, Tannady Tan Henny, Bin Rakiman Umol Syamsyul |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2025-01-01
|
| Series: | E3S Web of Conferences |
| Subjects: | |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/19/e3sconf_icsget2025_03010.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The Michigan Big Tree Program
by: Ted M. Reuschel
Published: (2023-10-01) -
Detection and classification of lung diseases in distributed environment
by: Thuong-Cang Phan, et al.
Published: (2025-05-01) -
Research on management mode of talent team in E-government based on big data analysis
by: Shixuan Hao
Published: (2025-12-01) -
Evaluation of the Decision Tree Model for Air Condition Classification on the Global Air Pollution Dataset
by: Cindy Dinda Sabella, et al.
Published: (2024-11-01) -
Efficent-cutting packet classification algorithm based on the statistical decision tree
by: Li-nan CHEN, et al.
Published: (2014-10-01)