Proceedings of the 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)

Decision Tree Algorithm for Big Data Analysis

Authors
Yan Hou
Corresponding Author
Yan Hou
Available Online December 2018.
DOI
https://doi.org/10.2991/tlicsc-18.2018.43How to use a DOI?
Keywords
big data; analysis; decision tree; algorithm; platform.
Abstract
With the development of the times, the amount of data processing is increasing, which brings new research challenges to data storage and processing data, but for traditional decision tree algorithms, it is far from meeting current data processing. Requirements, therefore, put forward new requirements for the decision tree algorithm. This paper expounds the decision tree algorithm, introduces the algorithm platform briefly, and finally forecasts the development direction of the decision tree algorithm.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2018
ISBN
978-94-6252-621-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/tlicsc-18.2018.43How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yan Hou
PY  - 2018/12
DA  - 2018/12
TI  - Decision Tree Algorithm for Big Data Analysis
BT  - 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/tlicsc-18.2018.43
DO  - https://doi.org/10.2991/tlicsc-18.2018.43
ID  - Hou2018/12
ER  -