Abstract
Talent is the best group in human resources, and the Talents are the best group in human resources, and English-speaking talents are the most dynamic factor in productivity. In order to improve the quantitative analysis ability of the English talent aggregation effect, the English talents aggregation effect analysis model is proposed based on large-scale data collection technology. The collection information flow model of the hotspot big data of English talents aggregation effect is constructed. The high-dimensional feature grouping method is used to reconstruct the hotspot big data of the English talents aggregation effect. The piecewise linear test method is used to analyze the statistical characteristics of the hotspot big data of the English talents aggregation effect and extract the frequent vector set which reflects the hot big data category attribute of the English talents aggregation effect. According to the result of feature extraction, the fuzzy English talents aggregation is processed to realize the fusion of big data information of English talents aggregation effect hotspot. Combined with quantitative analysis method, the automatic classification of big data association rules is realized. The experimental and simulation results show that the proposed method is more accurate and effective than the traditional methods in collecting hotspot data, which is 26% and 76% higher than the traditional methods. This method has better accuracy and improved data aggregation effect in collecting hotspot data of English talents gathering and has strong collecting ability and characteristics. The research improved hotspot big data’s English talents gathering effect.
Highlights
A large number of scientific and technological talents are introduced and trained under the guidance of the development and cultivation of strategic emerging industries and the emphasis on the growth needs of enterprises [1]
Talent is the best group in human resources
English talent is the most dynamic factor in productive forces, and the flow of English talents among regions can form a phenomenon of English talents gathering in a certain region [2]
Summary
A large number of scientific and technological talents are introduced and trained under the guidance of the development and cultivation of strategic emerging industries and the emphasis on the growth needs of enterprises [1]. (ii) e collection information flow model of the hotspot big data of English talents aggregation effect is constructed, and the grouping reconstruction of the hotspot big data of English talents aggregation effect is carried out by using the high-dimensional characteristic grouping method. Good regional science and education culture can make English talents have a stage in this environment, show their “fantastic ideas,” stimulate their creative inspiration, and produce the knowledge spillover effect and innovation effect of talent gathering. 3. Hotspot Big Data Collection and Feature Parameter Extraction of English Talents Gathering Effect e hot big data information flow of English talents aggregation effect is constructed, and the high-dimensional characteristic grouping method is used to reconstruct the hotspot big data of English talents aggregation effect. According to the result of vector reconstruction, the feature extraction of association rules of big data, a hotspot of English talents aggregation effect, is carried out [9]
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