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
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.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)
Series
Advances in Intelligent Systems Research
Publication Date
December 2018
ISBN
10.2991/tlicsc-18.2018.43
ISSN
1951-6851
DOI
10.2991/tlicsc-18.2018.43How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yan Hou
PY  - 2018/12
DA  - 2018/12
TI  - Decision Tree Algorithm for Big Data Analysis
BT  - Proceedings of the 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)
PB  - Atlantis Press
SP  - 270
EP  - 274
SN  - 1951-6851
UR  - https://doi.org/10.2991/tlicsc-18.2018.43
DO  - 10.2991/tlicsc-18.2018.43
ID  - Hou2018/12
ER  -