Application of random forest in big data completion
Telecom operators have a lot of data, but in view of a variety of reasons, the quality of the data is not ideal, there are a lot of data is not complete or even missing. For existing data mining, it is necessary to carry out the data to meet the quality of the data and to achieve sufficient sampling...
Saved in:
Main Authors: | Zheng WANG, Hua REN, Yanping FANG |
---|---|
Format: | Article |
Language: | zho |
Published: |
Beijing Xintong Media Co., Ltd
2016-12-01
|
Series: | Dianxin kexue |
Subjects: | |
Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016317/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Big Data Cleaning Based on Improved CLOF and Random Forest for Distribution Networks
by: Jie Liu, et al.
Published: (2024-01-01) -
Features of the use of big data in the financial sector
by: F. O. Chernenkov
Published: (2024-08-01) -
A Mini-Review of Machine Learning in Big Data Analytics: Applications, Challenges, and Prospects
by: Isaac Kofi Nti, et al.
Published: (2022-06-01) -
Big Data, Machine Intelligence and Their Impacts to the Future World
by: Jun Wu
Published: (2015-02-01) -
Big data mining and comparative analyses across lexica on the relationship between syllable complexity and word stress
by: Amanda Post da Silveira
Published: (2023-12-01)