Research and Application of Machine Learning in Big Data

Computer & Telecommunication

2018, Vol. 1

Issue (9): 29-31 DOI:

Current Issue | Archive | Adv Search

Research and Application of Machine Learning in Big Data

Jiangsu Maritime Institute

Download:

PDF(0KB)
Export: BibTeX | EndNote (RIS)

Abstract In the era of big data, machine learning and data analysis are important means of using big data to serve mankind. The steps of machine learning algorithm, the extraction method of feature dimension, the theoretical support of feature model establishment and the weight of model fusion are described. Aiming at the key technology of machine learning algorithm in big data era, the development prospect of machine learning algorithm is prospected.

Key words： big data machine learning feature dimension model establishment model fusion

Published: 10 September 2018

TP391

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	TONG Lian

Cite this article:

TONG Lian. Research and Application of Machine Learning in Big Data. Computer & Telecommunication, 2018, 1(9): 29-31.

URL:

https://www.computertelecom.com.cn/EN/ OR https://www.computertelecom.com.cn/EN/Y2018/V1/I9/29

[1]	YANG Li-jia CHEN Xin-fang ZHAO Han-qing WANG Shi-wei. Water Quality Safety Modeling Prediction Based on Extra Tree Classiﬁer[J]. 电脑与电信, 2024, 1(6): 57-.
[2]	NIE Cheng WANG Jie. A Review of Research and Development in Data Analysis Methods [J]. 电脑与电信, 2024, 1(4): 200-25.
[3]	WANG Zi-ming　XIAO Da-wei　LIU Ya-nan. Knowledge Graph Construction for Data Science and Big Data Technology[J]. 电脑与电信, 2024, 1(1): 32-34.
[4]	LI Xin JIA Mei-juan LIU Chun MAO Kai-ji. Reform and Practice of Computer Public Basic Education Model for Training Applied Talents in the Era of Big Data and Artificial Intelligence[J]. 电脑与电信, 2023, 1(11): 19-22.
[5]	GUO Zhao-feng XIE Ling ZHUANG Yi-fan. Design of an Intelligent Blind Guide System [J]. 电脑与电信, 2022, 1(3): 1-4.
[6]	ZHANG Li. Research on Macro Virus Processing Model Based on SVM Algorithm [J]. 电脑与电信, 2022, 1(1-2): 41-45.
[7]	ZHANG Liang ZHANG Li-mei. Design and Implementation of Comprehensive Training Platform for Big Data Specialty Based on Docker Technology [J]. 电脑与电信, 2022, 1(1-2): 46-48.
[8]	ZHU Feng. Million Enrollment Expansion in Higher Vocational Education——Research on Talent Training Strategy for Big Data Technology and Application Specialty[J]. 电脑与电信, 2021, 1(9): 85-89.
[9]	LIU Hui-fang. Research and Application of Anti-fraud Model Based on Big Data of Communication Operator[J]. 电脑与电信, 2021, 1(7): 46-52.
[10]	WANG Jia-hao. Risk Evaluation of Telecom Big Data Application Project Based on AHP-entropy Weight Method[J]. 电脑与电信, 2021, 1(7): 53-55.
[11]	YAO Jian-sheng LIU Yan-ling. Teaching Reform and Practice of Smart Tourism Data Science Course[J]. 电脑与电信, 2021, 1(4): 9-11.
[12]	SONG Man. Research on Talents Training Program of Big Data Majors in Higher Vocational Colleges ——Taking Guangzhou City Construction College as an Example[J]. 电脑与电信, 2021, 1(4): 16-22.
[13]	LI Ai-sheng. Exploration and Practice of Intelligent Training Based on CDL Architecture ——Take the Major of Information Security and Management as an Example[J]. 电脑与电信, 2021, 1(4): 81-85.
[14]	CHEN Xin-yi GE Gao-jing YUAN Ze-yuan. Prevention and Control Strategies of Telecommunications Fraud Crime under the Background of "Intelligence-led Policing" [J]. 电脑与电信, 2021, 1(12): 76-80.
[15]	CHEN Chun-yan. Research on Strategies for Optimizing Blended Teaching Mode by Using Big Data Analysis [J]. 电脑与电信, 2021, 1(11): 8-11.

Viewed

Full text

Abstract

Cited

Shared

Discussed