Abstract: Machine learning is widely used in the data processing including data classification, data regression, data mining and so on, and based on a single type of machine learning technology, it is often difficult to meet the requirements of data processing; in recent years, the machine learning based on fusion has become an important approach to improve data processing effect, and at the same time, corresponding summary study is relatively limited. In this study, we summarize and compare different types of fusion machine learning such as ensemble learning, federated learning and transfer learning from the perspectives of classification, principle and characteristics, and try to explore the research development trend, in order to provide effective reference for subsequent related research and application; furthermore, as an application of fusion machine learning，we also conduct a study on the modeling optimization for car service complaint text classification.

Chen Xiao Yu, Zhang Xiao Min, Song Ying and Gao Feng, “Research Progress and Trend of the Machine Learning based on Fusion” International Journal of Advanced Computer Science and Applications(IJACSA), 13(7), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130701

@article{Yu2022,
title = {Research Progress and Trend of the Machine Learning based on Fusion},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0130701},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0130701},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {7},
author = {Chen Xiao Yu and Zhang Xiao Min and Song Ying and Gao Feng}
}