Strategy for primary processing of social networks data using hierarchy analysis method

Chengar, O. V.; Shevchenko, V. I.; Maschenko, E N; Moiseev, D.V.; Soina, A S

doi:10.1088/1742-6596/1679/2/022082

Cited by 2 publications

(2 citation statements)

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“…It aims to obtain clusters with cases (culling categories) that are as similar as possible to each other and as different as possible from cases (culling categories) belonging to other clusters [ 54 , 55 ]. This can be obtained by merging all possible cluster pairs and selecting, each time, the cluster with the minimum sum of squared deviations [ 56 , 57 , 58 , 59 ] using an approach based on the analysis of variance to determine the distance between clusters [ 55 , 60 , 61 , 62 , 63 ]. The measure of the distance between cases (culling categories) and the mean value of a given cluster was the error sum of squares ( EES ), given by the following formula [ 64 , 65 , 66 ]:

where x i is the value of the variable that is a clustering criterion for the i th case, k is the number of cases (culling categories) within the cluster,

is the mean value of this variable within the cluster.…”

Section: Methodsmentioning

confidence: 99%

Estimation of Dairy Cow Survival in the First Three Lactations for Different Culling Reasons Using the Kaplan–Meier Method

Grzesiak

Adamczyk

Zaborski

et al. 2022

Animals

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The aims of the study were: (i) to compare survival curves for cows culled for different reasons over three successive lactations using the Kaplan–Meier estimator; (ii) to determine the effects of breeding documentation parameters on cow survival; (iii) to investigate the similarity between culling categories. The survival times for a subset of 347,939 Holstein-Friesian cows culled between 2017 and 2018 in Poland were expressed in months from calving to culling or the end of lactation. The survival tables were constructed for each culling category and lactation number. The survival curves were also compared. The main culling categories were reproductive disorders—40%, udder diseases—13 to 15%, and locomotor system diseases—above 10%. The survival curves for cows from individual culling categories had similar shapes. A low probability of survival curves for metabolic and digestive system diseases and respiratory diseases was observed in each of the three lactations. The contagious disease category was almost non-existent in the first lactation. The greatest influence on the relative culling risk was exerted by age at first calving, lactation length, calving interval, production subindex, breeding value for longevity, temperament, and average daily milk yield. A more accurate method of determining culling reasons would be required.

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where x i is the value of the variable that is a clustering criterion for the i th case, k is the number of cases (culling categories) within the cluster,

is the mean value of this variable within the cluster.…”

Section: Methodsmentioning

confidence: 99%

Estimation of Dairy Cow Survival in the First Three Lactations for Different Culling Reasons Using the Kaplan–Meier Method

Grzesiak

Adamczyk

Zaborski

et al. 2022

Animals

View full text Add to dashboard Cite

show abstract

“…It is a research work involving many disciplines, such as pedagogy, educational measurement, educational evaluation, and educational statistics. The development of theory, quality education theory, and education evaluation theory are inseparable (Chengar et al, 2020). Therefore, it is necessary to summarize the relevant research results from the level of education evaluation and postgraduate education of physical education, so as to provide a theoretical basis for the research of this topic.…”

Section: Materials and Methods Overview Of Quality Assessmentmentioning

confidence: 99%

Improvement Method of College Students' Physical Training Decision-Making Based on Fuzzy Analytic Hierarchy Process

Tan,

Hoang

2024

International Journal of Web-Based Learning and Teaching Technologies

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The training of physical education and training students is an important part of the education of physical education students in my country. The talents trained are an important supporting force to improve the quality of physical education and sports training and to promote the scientific and effective development of national fitness. The quality level of physical education and training students has a decisive influence on improving the physical quality of the people, promoting the progress of sports science and developing the sports cause. Therefore, on the basis of analyzing the concept of quality, quality structure, and quality evaluation, this paper uses the fuzzy judgment method to judge the physical quality of college students and focuses on the difference between the physical quality after the two-year physical education class and when entering the school in order to improve the physical education class.

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Strategy for primary processing of social networks data using hierarchy analysis method

Cited by 2 publications

References 0 publications

Estimation of Dairy Cow Survival in the First Three Lactations for Different Culling Reasons Using the Kaplan–Meier Method

Estimation of Dairy Cow Survival in the First Three Lactations for Different Culling Reasons Using the Kaplan–Meier Method

Improvement Method of College Students' Physical Training Decision-Making Based on Fuzzy Analytic Hierarchy Process

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