Research Hotspots and Frontier Evolution in the Field of Machine Learning

DOI

10.2991/wcnme-19.2019.50How to use a DOI?

Keywords

informatics; mapping knowledge Domain; machine learning; evolution of frontier

Abstract

Due to the emergence of Internet big data and hardware GPU, machine learning is out of the bottleneck period. Machine learning began to explode and began to become an independent popular subject and was applied to various fields. Various machine learning algorithms are emerging, and deep learning using deep neural networks has been further developed. At the same time, the flourishing of machine learning has also promoted the emergence of other branches, such as pattern recognition, data mining, bioinformatics and autopilot [1]. In this paper, papers and literatures in the field of machine learning in the core collection of Web of Science from 2008 to 2018 were selected as data sources, and CiteSpace bibliometric method was used for analysis. The results were as follows: The hotspots in the map co-occurrence and the information in the table for nearly ten years are analyzed according to the Algorithm and framework. The hotspots algorithms include classification, support vector machine, regression, neural network, random forest and so on. The popular frames are sorFlow, Caffe, PaddlePaddle and so on. Database, sequence, framework, deep learning, segmentation, mirroring, genetic algorithm, pattern recognition, timing arrangement, learning effect, decision tree, these mutant words together constitute the research frontier and emerging fields of machine learning in the past decade.

Copyright

© 2019, 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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TY  - CONF
AU  - Fujun Zhang
AU  - Wenbin Zhao
AU  - Quanhui Ye
AU  - Xue Gao
AU  - Hao Wan
PY  - 2019/06
DA  - 2019/06
TI  - Research Hotspots and Frontier Evolution in the Field of Machine Learning
BT  - Proceedings of the 2019 International Conference on Wireless Communication, Network and Multimedia Engineering (WCNME 2019)
PB  - Atlantis Press
SP  - 208
EP  - 212
SN  - 2352-538X
UR  - https://doi.org/10.2991/wcnme-19.2019.50
DO  - 10.2991/wcnme-19.2019.50
ID  - Zhang2019/06
ER  -