The statistical analysis in the era of big data

被引：3

作者：

Wang, Zelin ^{[1
]}

Liu, Xinke ^{[1
]}

Zhang, Weiye ^{[1
]}

Zhi, Yingying ^{[1
]}

Cheng, Shi ^{[1
]}

机构：

[1] Nantong Univ, Nantong, Peoples R China

来源：

INTERNATIONAL JOURNAL OF MODELLING IDENTIFICATION AND CONTROL | 2022年 / 40卷 / 02期

关键词：

big data; machine learning; deep learning; integrated learning; transfer learning;

D O I：

10.1504/IJMIC.2022.124718

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In the big data environment, the traditional machine learning algorithm for data processing is somewhat inadequate. Therefore, machine learning algorithms adapted to big data environment have become a research hotspot. At the time of the marriage of big data and machine learning, it is necessary to predict the related challenges and opportunities. This paper mainly analyses and summarises the current research status of machine learning algorithms for processing big data, and discusses the new opportunities and challenges that machine learning paradigm will face in the era of big data. It also explores the new technology breakthrough that machine learning will produce in the era of big data.

引用

页码：151 / 157

页数：8

共 13 条

[1]

Baladron C.S., 2020, INT J REV ESP CARDIO

[2] Statisticians can do better in the big data era [J].