Methodology-based approach to the research in the area of mineral exploration and mining based on systematic, integrated, inter-disciplinary and innovation strategy

Kornilkov, S. V.; Yakovlev, V. L.

doi:10.17580/gzh.2015.01.01

Cited by 3 publications

(3 citation statements)

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“…Kornilov and Yakovlev apply the couple of linear regression mannequin to predict the educational overall performance of college students in the hybrid college publications of bodily lecture room and cloud getting to know platform and include out educating intervention in accordance to the prediction to enhance their getting to know effect. The nested ensemble getting to know approach is used to assemble the classification prediction mannequin of online learners' educational performance, which offers a reference for the lookup on the influencing elements and prediction modelling of online learners' tutorial performance and additionally contributes to the exercise of online mastering tutorial early warning, tutorial overall performance prediction and contrast [8]. The clustering algorithm is utilized to the evaluation of English associated direction rankings and gaining knowledge of records of undergraduate college students in community diploma education, and the subdivision prediction of person diploma English take a look at rankings is realized.…”

Section: Related Workmentioning

confidence: 99%

Intelligent Prediction Model of CET-4 Passing Rate Based on Multisource Heterogeneous Data Mining

Cheng

2022

Wireless Communications and Mobile Computing

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With the growing software of English in society, English gaining knowledge is turning into extra and greater important. The software and lookup of fact mining science in English educating and gaining knowledge will turn out to be a new improvement trend. This study is based on the information of non-English majors’ learning situation of Public English course and CET-4 scores. It selects the data related to CET-4 scores as the characteristics, takes CET-4 passing rate as the goal, and makes use of selection tree classification mannequin to predict the passing likelihood of CET-4. After comparison and analysis, it is observed that the multisource heterogeneous statistic mining science can precisely predict students’ grades, which verify the software of multisource heterogeneous information mining technological know-how in university English studying and have an impact on of the mannequin on the end result prediction. The results of College English final examination and gender are the main factors affecting the passing rate of CET4. The higher the score of College English final examination, the higher the passing rate of CET-4. The results of this study show that girls’ passing rate and average score of CET-4 are higher than boys’. Other factors have little influence on CET4 passing rate and can be ignored. There is a significant positive relationship between the scores of CET-4, CET-1, and Putonghua. After analysing the number attributes of the model, blended with the statistical consequences of information analysis, this paper offers some ideas and hints to enhance the instructing administration and the passing charge of CET-4.

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Section: Related Workmentioning

confidence: 99%

Intelligent Prediction Model of CET-4 Passing Rate Based on Multisource Heterogeneous Data Mining

Cheng

2022

Wireless Communications and Mobile Computing

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“…The structure of data mining is shown in Figure 1. Knowledge stock is the area of information that records mining needs, which will be used to inform the search system of information mining or to assist in considering the mining results Figure 1 : The Structure of data mining The simplest area of expertise in the mining method is the user-defined threshold [7]. The most basic part of the facts mining system, the data mining engine, often includes a collection of mining feature modules, including qualitative induction, affiliation analysis, classification induction, evolutionary computation, and deviation analysis.…”

Section: Related Theories and Technologies Of Data Mining 21 Overall ...mentioning

confidence: 99%

A Proposed System Based On Data Mining For Digital Management Of Educational Tests

الشاذلي,

السعيد محمد عبد الرازق,

أبو جلالة

2023

المجلة العلمية لكلية التربية النوعية جامعة دمياط

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As the technology has rapidly became more powerful on scoring exams and essays, especially from the 1990s onwards, partially or wholly automated grading systems using computational methods have evolved and have become a major area of research. In particular, the demand of scoring of natural language responses has created a need for tools that can be applied to automatically grade these responses. In this paper, we focus on Educational electronic tests envision a future in which the question can be linked to the answer through many modern technologies such as data mining technology that will revolutionize the field of e-learning. This research presents a proposed system based on data mining for digital management of educational tests . In this paper, we explored in depth the role of mining In developing the construction of electronic tests that will depend on data mining technology to provide students with the skills of analysis and conclusion. The proposed system helps the student to search in the content about all paragraphs related to the keywords in the question , the student read this paragraphs and analysis them and thus has the ability to choose the most accurate answer.

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“…e user-defined threshold used in the mining algorithm is the easiest area know-how [8]. Data mining engine, which is the most simple issue of the facts mining system, commonly includes a set of mining feature modules to the entire mining features such as qualitative induction, affiliation analysis, classification induction, evolutionary computation, and deviation analysis.…”

Section: Related Theories and Technologies Of Data Miningmentioning

confidence: 99%

Distribution of Large‐Scale English Test Scores Based on Data Mining

Chu

2021

Complexity

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Data mining technology is an effective knowledge mining and data relationship induction technology based on massive data, which is widely used in data analysis in many fields. In order to improve the utilization effect of students’ performance and meet the teaching needs of modern education, data mining technology can be applied to the existing performance database to mine the data information and treatment. Data mining technology is used to analyse and process the data stored in the student achievement management system, which provides the basis for improving the teaching quality and optimizing the teaching resources. Based on the analysis of the relevant data of large-scale English test results, this paper finds out the relevant rules that affect college English test results, forms the corresponding performance prediction rules, uses data mining technology to more comprehensively analyse the factors that affect students’ performance, establishes a model, and uses data mining tools to mine and analyse students’ English test data. It is of great practical significance to select the model with high accuracy, further optimize the parameters, make good use of the data, and then take targeted measures to guide the teaching reform, help students make more efficient learning plans, and improve and perfect the existing problems in teaching.

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Methodology-based approach to the research in the area of mineral exploration and mining based on systematic, integrated, inter-disciplinary and innovation strategy

Cited by 3 publications

References 0 publications

Intelligent Prediction Model of CET-4 Passing Rate Based on Multisource Heterogeneous Data Mining

Intelligent Prediction Model of CET-4 Passing Rate Based on Multisource Heterogeneous Data Mining

A Proposed System Based On Data Mining For Digital Management Of Educational Tests

Distribution of Large‐Scale English Test Scores Based on Data Mining

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