An analysis of environmental big data through the establishment of emotional classification system model based on machine learning: focus on multimedia contents for portal applications

2020 ◽  
Author(s):  
Seong-Taek Park ◽  
Do-Yeon Kim ◽  
Guozhong Li
Keyword(s):  
Machine Learning ◽  
Big Data ◽  
Classification System ◽  
System Model ◽  
Multimedia Contents ◽  
Model Based

Trailer Mass Estimation Using System Model-Based and Machine Learning Approaches

2020 ◽  
Vol 69 (11) ◽  
pp. 12536-12546 ◽  
Author(s):  
Amin Habibnejad Korayem ◽  
Amir Khajepour ◽  
Baris Fidan
Keyword(s):  
Machine Learning ◽  
System Model ◽  
Learning Approaches ◽  
Mass Estimation ◽  
Model Based

scholarly journals Big Data Cleaning Model of Multi-Source Heterogeneous Power Grid Based On Machine Learning Classification Algorithm

2021 ◽  
Vol 2087 (1) ◽  
pp. 012095
Author(s):  
Zhangchi Ying ◽  
Yuteng Huang ◽  
Ke Chen ◽  
Tianqi Yu
Keyword(s):  
Machine Learning ◽  
Big Data ◽  
Data Cleaning ◽  
Power Grid ◽  
Measurement Data ◽  
Classification Algorithm ◽  
Imprecise Data ◽  
Machine Learning Classification ◽  
Model Based ◽  
Inaccurate Data

Abstract Aiming at the low cleaning rate of the traditional multi-source heterogeneous power grid big data cleaning model, a multi-source heterogeneous power grid big data cleaning model based on machine learning classification algorithm is designed. By capturing high-quality multi-source heterogeneous power grid big data, weight labeling of data source importance measurement, data attributes and tuples, and constructing Tan network based on the idea of machine learning classification algorithm, the data probability value is finally used to complete the classification and cleaning of inaccurate data. Experiments show that the model based on machine learning classification algorithm can effectively improve the imprecise data cleaning rate compared with the traditional model to solve multi-source heterogeneous imprecise data cleaning.

scholarly journals Software Design of Machine Learning Model Based on Big Data Analysis

2021 ◽  
Vol 2023 (1) ◽  
pp. 012022
Author(s):  
Feng Zou ◽  
Lizhu Ye ◽  
Wenhai He ◽  
Yunxiang Liu
Keyword(s):  
Machine Learning ◽  
Big Data ◽  
Data Analysis ◽  
Software Design ◽  
Learning Model ◽  
Big Data Analysis ◽  
Model Based ◽  
Machine Learning Model
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