2022
DOI: 10.1155/2022/2477264
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Evaluation Model of Employment and Entrepreneurship of University Students Based on Classification Algorithm

Abstract: As a new data analysis tool, data mining has developed rapidly. Various types of data sets can be used as data mining objects. Faced with more and more data sources and larger amounts of data today, data mining can effectively obtain valuable information from them and can enable people to better predict possible data information in the future, thereby improving work efficiency. Pheromone update uses a combination of global update and local update. The improved algorithm can balance the relationship between ant… Show more

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Cited by 4 publications
(4 citation statements)
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“…Hu Chuang [11] proposed a Chinese character-pinyin dual-channel method for recognizing bad short texts in response to the problem of difficult to deal with homophones in bad variant texts. Fu Biehe [12] integrated a bad text classifier based on key information reduction, a bad text classifier based on improved KNN, and a bad text classifier based on sensitive decision tree through Bagging to recognize bad text containing variant words. Yao J [13] et al used a BiGRU-CNN hybrid network with word-phonetic co-embedding to recognize spam emails containing variant words.…”
Section: Introductionmentioning
confidence: 99%
“…Hu Chuang [11] proposed a Chinese character-pinyin dual-channel method for recognizing bad short texts in response to the problem of difficult to deal with homophones in bad variant texts. Fu Biehe [12] integrated a bad text classifier based on key information reduction, a bad text classifier based on improved KNN, and a bad text classifier based on sensitive decision tree through Bagging to recognize bad text containing variant words. Yao J [13] et al used a BiGRU-CNN hybrid network with word-phonetic co-embedding to recognize spam emails containing variant words.…”
Section: Introductionmentioning
confidence: 99%
“…The metropolitan circles and urban agglomerations in a region have now become important spatial carriers of the employment pattern of college students. Full understanding and excavation of the spatial distribution characteristics of the employment pattern of college students in the region is the precondition for improving the employment quality of college students in the region and achieving the rapid development of regional economy [6][7][8][9][10][11][12][13][14]. Currently, there are certain differences in the employment agglomeration level of college students in a region, and such obvious gaps and competition among cities, counties and districts are the main reasons for the imbalance of employment quality among these sub-regions [15][16][17][18][19][20][21][22][23].…”
Section: Introductionmentioning
confidence: 99%
“…Ever since Chinese premier Li Keqiang has put forward the initiative of "Mass entrepreneurship and innovation" at the summer Davos Forum in September 2014, Chinese people's enthusiasm for I&E has been raised to an unprecedented level [1][2][3][4][5], the college students with professional knowledge have gradually become the main force in the entrepreneur group, and an active entrepreneurial intention is conductive for college students to carry out entrepreneurial activities that are beneficial to social development [6][7][8][9][10][11][12][13][14]. In China, colleges and universities have invested a lot in college students' I&E education, however, in existing curriculum, the proportion of practice class is still much less than that of theory class, so its role is quite limited; moreover, there're other unsolved issues with the I&E education of college students, such as the incomplete course system, the incoherent teaching links, and the poor operation of the mechanism, etc.…”
Section: Introductionmentioning
confidence: 99%