A semi-hierarchical clustering method for constructing knowledge trees from stackoverflow

Tseng, Chun-Hsiung; Lin, Jia-Rou

doi:10.1177/0165551520961035

Cited by 4 publications

(3 citation statements)

References 14 publications

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“…HC can be divided into two types: HC from top to bottom and one from bottom to top. And different HC methods will obtain a cluster tree after clustering [17]. The research uses HC from bottom to top, and the steps of this clustering method can be divided into five steps on the whole.…”

Section: Design Of Network Node Clustering and Threat Type Estimation...mentioning

confidence: 99%

RETRACTED ARTICLE: The design of network security protection trust management system based on an improved hidden Markov model

Chen

2023

EURASIP J. on Info. Security

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With the growth of the Internet, network security issues have become increasingly complex, and the importance of node interaction security is also gradually becoming prominent. At present, research on network security protection mainly starts from the overall perspective, and some studies also start from the interaction between nodes. However, the trust management mechanisms in these studies do not have a predictive function. Therefore, to predict trust levels and protect network security, this paper innovatively proposes a trust management system for network security protection based on the improved hidden Markov model. The research divides the trust level of inter-node interactions by calculating the threat level of inter-node interactions and predicts the trust level of inter-node interactions through an optimized hidden Markov model. In addition, the study designs an estimation of the types of interactive threats between nodes based on alarm data. The research results show that when inactive interaction tuples are not excluded, the average prediction accuracy of the combined model is 95.5%. In response time, the maximum values of the active and passive cluster management pages are 38 ms and 33 ms, respectively, while the minimum values are 16 ms and 14 ms, with an average of 26.2 ms and 24 ms, respectively. The trust management system designed by the research institute has good performance and can provide systematic support for network security protection, which has good practical significance.

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Section: Design Of Network Node Clustering and Threat Type Estimation...mentioning

confidence: 99%

RETRACTED ARTICLE: The design of network security protection trust management system based on an improved hidden Markov model

Chen

2023

EURASIP J. on Info. Security

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“…The business activities that really create favorable value are the "strategic advantages" of the enterprise. By analyzing the core competitiveness of enterprises through the value chain, it is necessary to score the qualitative indicators of enterprise credit evaluation, as shown in Table 1 1, this paper evaluates the enterprise credit from such indicators as the years of employment of tobacco retail enterprises, whether to audit, credit card records of legal representatives, types of registered capital in place of tobacco retail enterprises, and the number of contract defaults between enterprises [19][20][21] . In the process of enterprise credit evaluation, the above indicators are comprehensively considered, and the market scope involved in value activities is adjusted according to the value activities of the indicators, so as to bring the best credit value to the entire value chain.…”

Section: Design Of Credit Evaluation Methods For Tobacco Retail Enter...mentioning

confidence: 99%

Research on Credit Evaluation Method of Tobacco Retail Enterprises Based on Hierarchical Clustering Algorithm

Xiao,

Zhu,

Zhang

et al. 2024

Preprint

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The conventional enterprise credit evaluation method is mainly financial evaluation, and the credit evaluation indicators are not perfect. Therefore, a credit evaluation method for tobacco retail enterprises based on hierarchical clustering algorithm is designed. Select tobacco retail enterprise credit evaluation indicators to measure enterprise credit indicators in all aspects. Based on the hierarchical clustering algorithm, the credit evaluation index system of retail enterprises is constructed to determine the importance of each evaluation index and reflect the contribution of this index, so as to achieve effective credit evaluation of tobacco retail enterprises. The example analysis verifies that the evaluation method is more accurate and can be applied in real life.

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“…After identifying an effective set of learning behavior sequences u Act for higher vocational professional courses, the next task is to build a multidimensional fine-grained learning behavior structure model for higher vocational professional courses. This study proposes a learning behavior structure model-building method based on a hierarchical clustering algorithm [25][26][27].…”

Section: Structural Modeling Of Learning Behaviormentioning

confidence: 99%

Vocational Education and Industry Integration and Symbiosis of Subjects and Digital Drivers

Guo

2023

Applied Mathematics and Nonlinear Sciences

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Under the new round of scientific and technological revolution and industrial change, the integration of vocational education and industry is an important direction of educational development. In this paper, the structure of the learning path network of higher vocational professional courses is analyzed, and through the analysis of the elements of learning behaviors, the learning behaviors are mined by adopting sequence relations, and the behavioral structure model is established. The assessment of the learning path under the integration of industry and education courses was finished using uncertainty association coefficients and time association coefficients. After building the learning path network for vocational education, the subjective characteristics of students under vocational education were detected using isolated point analysis. The detection results show that the correlation coefficient between the first pair of typical variables is 0.488. The Wilks statistical test results for typical correlation coefficients show that the p-value of the first typical correlation coefficient is 0.098, which is less than 10%. The correlation study of the environment of integration of education and industry and the effect of integration can be simplified to study only the relationship between the first pair of typical variables. By analyzing the main characteristics, the main body for vocational education and industry integration is clarified, which creates a digital-driven impetus for the integration of industry and education.

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A semi-hierarchical clustering method for constructing knowledge trees from stackoverflow

Cited by 4 publications

References 14 publications

RETRACTED ARTICLE: The design of network security protection trust management system based on an improved hidden Markov model

RETRACTED ARTICLE: The design of network security protection trust management system based on an improved hidden Markov model

Research on Credit Evaluation Method of Tobacco Retail Enterprises Based on Hierarchical Clustering Algorithm

Vocational Education and Industry Integration and Symbiosis of Subjects and Digital Drivers

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