Paper Info
Title
A new algorithm of stock data mining in Internet of Multimedia Things
Abstract
The explosive growth in the number of enterprises of Internet of Multimedia Things stocks reflects the economic level of an area. Internet of Multimedia Things has emerged as a new research concept in the world, in which a new data mining algorithm is proposed to study enterprise operation ability of Internet of Multimedia Things. Firstly, an image processing method based on wavelet transform is proposed. We do a big data analysis of the stock’s historical data to obtain its plate leading stock average data and volatility of individual stocks data image. The number of the singular value points of the individual stocks was obtained according to their fluctuation, and we could get the singular rate from the numbers of singular values points. Stock’s stability could be judged comprehensively by comparison between the trend of fluctuations in individual stocks and leading stock, singular value point, and singular rate. The results of this paper could help investors to grasp the volatility of the stock market, making predictive analysis, and getting a higher return. The experimental results show that our approach has better ability to mine the essences in Internet of Multimedia Things. Data mining also can get the development level of Internet of things enterprises.
Year
DOI
Venue
2020
10.1007/s11227-017-2195-3
The Journal of Supercomputing
Keywords
DocType
Volume
Internet of Things, Data mining, Wavelet transform, Internet of Multimedia Things, West region
Journal
76
Issue
ISSN
Citations 
4
1573-0484
5
PageRank 
References 
Authors
0.42
10
3
Name
Order
Citations
PageRank
Jinfei Yang1151.24
Jiajia Li231734.53
Shouqiang Liu3161.26