A sequential feature selection approach to change point detection in mean-shift change point models

Ying, Baolong; Yan, Qijing; Chen, Zehua; Du, Jinchao

doi:10.1007/s00362-024-01548-y

Stat Papers

2024

DOI: 10.1007/s00362-024-01548-y

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A sequential feature selection approach to change point detection in mean-shift change point models

Baolong Ying,

Qijing Yan,

Zehua Chen

et al.

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2024

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Cited by 3 publications

References 28 publications

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A Test for Trend Gradual Changes in Heavy Tailed AR (p) Sequences

Xu,

Jiang,

Wei

et al. 2024

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A Test for Trend Gradual Changes in Heavy Tailed AR (p) Sequences

Xu,

Jiang,

Wei

et al. 2024

Stat Papers

View full text Add to dashboard Cite

Study on the Adjustment of Teaching Strategies and Tracking of Educational Effect of Youth Rule of Law Education Based on Big Data Analysis

Zhang

2024

Applied Mathematics and Nonlinear Sciences

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The article optimizes and proposes a youth rule of law teaching strategy based on big data analysis on the basis of the traditional youth rule of law education model. The traditional K-means algorithm is improved by Mean Shift theory so as to construct an educational data mining model based on the MK-means algorithm. In order to test the actual effect of the rule of law teaching strategy proposed in this paper, X Middle School is selected to implement the youth rule of law teaching strategy based on big data analysis and analyze the learning effect and the rule of law ability of students. Students’ mastery of the 10 knowledge points of the rule of law education content is between 0.80 and 0.92, among which students have the highest mastery of law enforcement and justice, law compliance and law-abiding, and the lowest mastery of rational thinking. The subject students were divided into three categories, and each category had 36, 10, and 4 students, respectively. The first category of students had the best mastery of the knowledge points, with the number of 72%. The second category had average mastery, with the number of 20%, and the third category had the worst mastery, with the number of 8%. The post-test mean value of the experimental group in the four dimensions of the rule of law competence is higher than the pre-test mean value by 6.39, 3.70, 3.12, and 3.02, respectively, and the P value of the four dimensions is less than 0.05. The post-test mean value of the control group rises compared with the pre-test mean value by 0.31, 0.58, 0.41, and 0.30, respectively, and the P value is greater than 0.05. The comprehensive result shows that the teaching effect of the rule of law for adolescents based on big data analysis is significantly better than that of the teaching strategy of the rule of law for adolescents based on big data analysis. Teaching strategies are significantly better than traditional rule-oflaw teaching methods.

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Research on the Prediction Model of Consumer’s Emotional Response to Color in Packaging Design

Zhou,

Dong,

Zhang

2024

Applied Mathematics and Nonlinear Sciences

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Packaging design has a non-negligible impact on consumers’ emotional feedback and purchase intention, and color, as one of the most important parts of packaging design, will also have an impact on consumer psychology. Based on the psychology of consumers in color consumption in packaging design, the article designs and constructs a multimodal learning-based model for predicting consumer emotions. The model is divided into a modality-specific learning module, a cross-modal fusion module, and an emotion prediction module to recognize and predict consumer emotions. At the same time, K-means, C-means, and ISO-DATA are introduced to extract features from colors in packaging design. The emotional imagery and positive-negative emotional bias of colors in this paper’s model are analyzed, and the accuracy of emotional prediction and training time of this paper’s model are examined. Gold, pink, green, orange, white, and yellow all have an emotional bias score greater than 2.5 and are classified as “positive” emotional colors. Purple, red, brown, blue, black, and grey were identified as “negative” emotion colors because their emotion bias values were less than 2.5. This paper’s model has the most accurate prediction accuracy and the shortest training time among the bimodal, trimodal, and quaternary sentiment analysis experiments. The model’s prediction accuracy increases as the number of modalities increases, but the training time also increases.

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A sequential feature selection approach to change point detection in mean-shift change point models

Cited by 3 publications

References 28 publications

A Test for Trend Gradual Changes in Heavy Tailed AR (p) Sequences

A Test for Trend Gradual Changes in Heavy Tailed AR (p) Sequences

Study on the Adjustment of Teaching Strategies and Tracking of Educational Effect of Youth Rule of Law Education Based on Big Data Analysis

Research on the Prediction Model of Consumer’s Emotional Response to Color in Packaging Design

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