Analysis of College Students’ Consumption Behavior Data Based on Fractional-Order Firefly Optimization Clustering Algorithm

Data mining-based student consumption behavior analysis is an important part of smart campus construction, which could find students’ eating patterns and consumption levels. Therefore, data mining-based student consumption behavior analysis became a hot topic both in research and industry areas. For...

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Vydáno v:Applied sciences Ročník 15; číslo 14; s. 7723
Hlavní autoři: Meng, Xiang, He, Qi, Dong, Yanhua, Sun, Hongyu
Médium: Journal Article
Jazyk:angličtina
Vydáno: Basel MDPI AG 01.07.2025
Témata:
Academic achievement
Algorithms
Analysis
Behavior
Cluster analysis
Clustering
College campuses
College students
consumer behavior analysis
Data analysis
Data mining
Datasets
Food habits
fractional-order firefly algorithm
Higher education
k-means
Machine learning
Optimization
smart campus
Student behavior
ISSN:2076-3417, 2076-3417
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Shrnutí:Data mining-based student consumption behavior analysis is an important part of smart campus construction, which could find students’ eating patterns and consumption levels. Therefore, data mining-based student consumption behavior analysis became a hot topic both in research and industry areas. For an increasing amount of data, traditional data mining algorithms are not suitable. The clustering algorithm is becoming more and more important in the field of data mining, but the traditional clustering algorithm does not take the clustering efficiency and clustering effect into consideration. In this paper, the algorithm based on k-means and clustering by fractional-order firefly algorithm (FFA-k-means), which optimizes the clustering centers algorithm, is proposed. This method is used to cluster students from colleges. The experiment shows that the algorithm proposed in this paper has better clustering results compared with the traditional k-means clustering algorithm. Additionally, through the analysis results, it can be found that the problem of the group of students with too few times of consumption, the problem of a low number of students’ consumption of three meals, and the proportion of living diets is too low. The causes and characteristics of these problems are used as a reference for colleges to take corresponding measures timely.
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content type line 14
ISSN:2076-3417
2076-3417
DOI:10.3390/app15147723