scholarly journals The Realization of Intelligent Algorithm of Knowledge Point Association Analysis in English Diagnostic Practice System

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Yanyan Zhang

This paper first conducts knowledge point association analysis on a large amount of data collected in practical applications. Data mining includes data collection, data preprocessing, actual mining, and result analysis, establishes knowledge point association rules table, and develops college English diagnostic practice system. Then, starting from the existing paper composition mode of the system, the knowledge point association rule table is introduced, and the knowledge point association relationship mining model is constructed using the association rule algorithm to explore the potential influence relationship between different knowledge points that affect the improvement of learning quality. Finally, the data collected when the system is used is preprocessed, and the three dimensions of learning status evaluation, question-type association analysis, and college English score prediction are, respectively, modeled. Finally, after combining these submodels, a relatively complete and reliable diagnosis is obtained by evaluation model and related verification.

Healthcare ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 195
Author(s):  
Ming-Hseng Tseng ◽  
Hui-Ching Wu

Equitable access to healthcare services is a major concern among immigrant women. Thus, this study investigated the relationship between socioeconomic characteristics and healthcare needs among immigrant women in Taiwan. The secondary data was obtained from “Survey of Foreign and Chinese Spouses’ Living Requirements, 2008”, which was administered to 5848 immigrant women by the Ministry of the Interior, Taiwan. Additionally, descriptive statistics and significance tests were used to analyze the data, after which the association rule mining algorithm was applied to determine the relationship between socioeconomic characteristics and healthcare needs. According to the findings, the top three healthcare needs were providing medical allowances (52.53%), child health checkups (16.74%), and parental knowledge and pre- and post-natal guidance (8.31%). Based on the association analysis, the main barrier to the women’s healthcare needs was “financial pressure”. This study also found that nationality, socioeconomic status, and duration of residence were associated with such needs, while health inequality among aged immigrant women was due to economic and physical factors. Finally, the association analysis found that the women’s healthcare problems included economic, socio-cultural, and gender weakness, while “economic inequality” and “women’s health” were interrelated.


Author(s):  
Wenxue Huang ◽  
Milorad Krneta ◽  
Limin Lin ◽  
Jianhong Wu

An association pattern describes how a group of items (for example, retail products) are statistically associated together, and a meaningful association pattern identifies ‘interesting’ knowledge from data. A wellestablished association pattern is the association rule (Agrawal, Imielinski & Swami, 1993), which describes how two sets of items are associated with each other. For example, an association rule A-->B tells that ‘if customers buy the set of product A, they would also buy the set of product B with probability greater than or equal to c’. Association rules have been widely accepted for their simplicity and comprehensibility in problem statement, and subsequent modifications have also been made in order to produce more interesting knowledge, see (Brin, Motani, Ullman and Tsur, 1997; Aggarwal and Yu, 1998; Liu, Hsu and Ma, 1999; Bruzzese and Davino, 2001; Barber and Hamilton, 2003; Scheffer, 2005; Li, 2006). A relevant concept is the rule interest and excellent discussion can be found in (Shapiro 1991; Tan, Kumar and Srivastava, 2004). Huang et al. recently developed association bundles as a new pattern for association analysis (Huang, Krneta, Lin and Wu, 2006). Rather than replacing the association rule, the association bundle provides a distinctive pattern that can present meaningful knowledge not explored by association rules or any of its modifications.


2018 ◽  
Vol 10 (12) ◽  
pp. 4645 ◽  
Author(s):  
Huaiyun Kou ◽  
Jian Zhou ◽  
Jie Chen ◽  
Sichu Zhang

Historic districts have become a significant aspect of urban diversity and sustainable development, due to their dual attributes of cultural heritage and living community. This study aims to assess the influence of conservation efforts on the sustainable development of historic districts. Based on a literature review, this study designed a sustainability evaluation model that included twelve indicators and twenty-seven sub-indicators, in reference to heritage conservation, stakeholder participation, economic development, and planning and governance. The case study of the Xijie Historic District in Dujiangyan City, China, was selected to apply the model. Using data collected via questionnaire surveys and in-depth interviews, and using qualitative and quantitative combined methods and weighted averages, the model produced the sustainability index of the Xijie Historic District. Further examinations were performed and findings were explored, regarding the conservation efforts for the Xijie Historic District. Despite the research limitation of a lack of multi-sample verification, the results of the assessment are consistent with what is found in practice, demonstrating the validity of the model. The sustainability evaluation model can be applied to various historic districts and regions, by reassigning indicator weights to the different cases; the indicators system also provides references for research and practical applications for the conservation and sustainable development of other heritage types.


2020 ◽  
pp. 1-11
Author(s):  
Lin Shen

This article first studies and designs the college English test framework and performance analysis system. The author analyzes a large number of data collected by the system in three dimensions: using data mining title association models, using machine learning to merge college English score prediction models, and finally diagnosing on the basis of the sexual evaluation model, the author designed and implemented a test paper algorithm based on the association rules of the question type, and carried out relevant verification from the three aspects of test paper time, test question recommendation and improvement according to scores. Finally, according to the needs analysis, the author uses the diagnostic evaluation model and related test paper algorithm to design and implement the diagnostic evaluation model, which is added to the college English diagnostic practice system. It can be obtained through comparative experiments that the paper-based algorithm based on the diagnostic evaluation model proposed in this paper can effectively give better practice guidance and test question recommendation to the learner’s learning status and knowledge point problem obstacles, and can effectively improve learning. The achievements of the authors have broad application prospects and research value.


Author(s):  
Fanwen Kong

The existing evaluation models for the teaching ability of college art teachers are unadaptable, unsystematic and incomplete. To solve these problems, this paper puts forward a novel model to evaluate the adaptive teaching ability of college art teachers. Firstly, the teaching demand of college art teachers was analyzed in the knowledge age, highlighting the necessity to evaluate the adaptive teaching ability of college art teachers. Next, an evaluation system was established for the adaptive teaching ability of college art teachers in the knowledge age, and different types of evaluation indices were identified. On this basis, the grey relational analysis (GRA) was introduced to build an evaluation model for the adaptive teaching ability of college art teachers. The GRA-based evaluation model enjoys good operability and feasibility. To sum up, this paper fully integrates the evaluation system and evaluation model for the adaptive teaching ability of college art teachers. The research results have great significance in terms of theoretical innovations and practical applications.


2014 ◽  
Vol 644-650 ◽  
pp. 6087-6092
Author(s):  
Liu Qun Yang ◽  
Lei He ◽  
Gang Li

College English teaching evaluation is an important step to improve the quality of teaching and to promote students' development and assessment of teachers' performance, which is characterized by many factors and multidimensional structure. The current college English teaching evaluation method faces such problems: fuzzy evaluation criteria, subjective judgment and the difficulty to quantify evaluation results. Based on cloud theory, this article will explore college English teaching evaluation, and establish a comprehensive evaluation model based on cloud gravity center by using weight deviation to measure the quality of teaching. This article will also build an inter-relationship mapping between qualitative and quantitative evaluation, which supports the whole process of comprehensive evaluation with the combination of qualitative and quantitative indexes. Finally this article gives an example of specific application of this method.


2014 ◽  
Vol 1044-1045 ◽  
pp. 1446-1451
Author(s):  
Yue Li ◽  
Wei Liu

he information technology has greatly driven the development of Smart Grid, however, the risk of system operation has been significantly increased simultaneously with improving the intelligent operation level of Grid system, therefore, how to construct an efficiency evaluation model of electric power information system effectively has been becoming an important subject to be explored for many experts. And based on that, this paper presents an efficiency evaluation model of electric power information system in view of the adjacency matrix. Firstly, the attack process is divided into two stages from the perspective of an attacker, namely, selecting to attack the access points and attacking other access points; secondly, it describes the intelligent selection capability of the attacker by using the transfer probability index between the nodes; finally, it conducts the computational analysis by introducing an example, to prove the practical applications of the proposed methods.


2021 ◽  
pp. 1-12
Author(s):  
Man Luo

The construction of hydraulic projects inevitably involves land requisition and resettlement, with considerable impact on the society, the environment, and the economy of the project site, and leading to social stability risk events. Therefore, it is necessary to systematically assess social stability risk to put forward corresponding countermeasures. By applying WSR theory (Wuli-Shili-Renli Theory) to the investigation of the case-study of the Jiangxiang Reservoir Project, this paper constructs an evaluation index system for the risk to social stability from land requisition and resettlement, from the three dimensions of “physics”, “matter”, and “human principle”. The GAHP (Group-decision Analytic Hierarchy Process) method is used to determine the index weights, while the index values of each risk factor are determined by using the interval valued hesitant fuzzy sets (IVHFSs) method. A comprehensive assessment of risks to social stability from land requisition and resettlement in the Jiangxiang Reservoir Project is performed, and coping strategies for major social stability risk factors are proposed. This paper effectively supports the development of assessments of risks to social stability from land requisition and resettlement in other hydraulic projects.


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