Influencing Factors and Forecasting Statistics of Enterprise Market Sales Based on Big Data and Intelligent IoT

With the acceleration of economic development, enterprise management is facing more severe challenges. Big data analysis based on the intelligent Internet of Things (IoT) has a positive effect on the development of enterprise management and can make up for the shortcomings of enterprise management....

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Bibliographic Details
Published in:Wireless communications and mobile computing 2021, Vol.2021 (1)
Main Authors: Guo, Zhen, Zou, Tao
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
Big Data
Classification
Cluster analysis
Clustering
Data analysis
Data collection
Data processing
Economic analysis
Economic development
Economic forecasting
Internet of Things
Neural networks
Numerical analysis
Optimization algorithms
Principal components analysis
Sales
Sales forecasting
Tourism
Vector quantization
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Summary:With the acceleration of economic development, enterprise management is facing more severe challenges. Big data analysis based on the intelligent Internet of Things (IoT) has a positive effect on the development of enterprise management and can make up for the shortcomings of enterprise management. In this paper, we develop a big data processing method based on intelligent IoT which can mine the factors that affect the company’s market sales from the collected data. Then, we propose a KNN classification algorithm based on overlapping k-means clustering. This algorithm adds a training process to the traditional KNN algorithm, which can accurately classify data and greatly improve the efficiency of the classification algorithm. Numerical analysis results prove the effectiveness of the proposed algorithm.
ISSN:1530-8669
1530-8677
DOI:10.1155/2021/9981581