CUDT: A CUDA Based Decision Tree Algorithm
Decision tree is one of the famous classification methods in data mining. Many researches have been proposed, which were focusing on improving the performance of decision tree. However, those algorithms are developed and run on traditional distributed systems. Obviously the latency could not be impr...
Saved in:
Main Authors: | Win-Tsung Lo, Yue-Shan Chang, Ruey-Kai Sheu, Chun-Chieh Chiu, Shyan-Ming Yuan |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2014-01-01
|
Series: | The Scientific World Journal |
Online Access: | http://dx.doi.org/10.1155/2014/745640 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Ego-Motion Estimation for Autonomous Vehicles Based on Genetic Algorithms and CUDA Parallel Processing
by: Abiel Aguilar-González, et al.
Published: (2025-01-01) -
A Fast Fully Parallel Ant Colony Optimization Algorithm Based on CUDA for Solving TSP
by: Zhi Zeng, et al.
Published: (2023-01-01) -
Parallel Algorithms of Well-Balanced and Weighted Average Flux for Shallow Water Model Using CUDA
by: Nugool Sataporn, et al.
Published: (2021-01-01) -
Control point locating scheme of street light network in urban environment
by: Yue-Shan Chang, et al.
Published: (2017-03-01) -
Accelerated Reconstruction of Scenes Using CUDA-Based Parallel Computing
by: Gui Zou, et al.
Published: (2025-01-01)