Phase Evolution Analysis During Real-Time Solid-State Chemical Lithiation of Crystalline Thin Window Silicon Membranes Using Low-Loss STEM-EELS Imaging

Oleshko, Vladimir P.

doi:10.1017/s1431927621009600

Cited by 1 publication

(1 citation statement)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Heterogeneous analysis can be described as follows: given the set of N data points or objects and the expected number of outliers K, it is found that objects are incompatible and exceptional compared with the remaining data. e problem of heterogeneous analysis can be regarded as two problems: ( 1) define what kind of data in a given data set can be considered inconsistent; (2) find an effective method to mine such outliers [12,13].…”

Section: Task Model Of Data Miningmentioning

confidence: 99%

Intelligent Application of Data Mining Model in Chinese International Education

2022

Mathematical Problems in Engineering

View full text Add to dashboard Cite

In order to improve the effect of intelligentization of Chinese international education, this paper puts forward the application method of the data mining model. Through the collection, transformation, processing, mining, and analysis of a large number of random data generated in education and teaching, this method provides learning suggestions for learners, realizes evaluation and prediction, presents knowledge information for educators, realizes educational decision-making, and realizes the continuous optimization of the teaching process. The experimental results show that the relationship between teachers’ teaching and students’ scores is obtained through the analysis of association rules in data mining technology. The support and confidence of students’ scores taught by teacher B are 28.57% and 72%, respectively, and the support and confidence of students’ scores taught by teacher C are 19.05% and 70.59%, respectively. The two rules are established to a great extent through data association. Data mining technology can effectively optimize the effect of intelligentization of Chinese international education.

show abstract

Section: Task Model Of Data Miningmentioning

confidence: 99%

Intelligent Application of Data Mining Model in Chinese International Education

2022

Mathematical Problems in Engineering

View full text Add to dashboard Cite

show abstract

Phase Evolution Analysis During Real-Time Solid-State Chemical Lithiation of Crystalline Thin Window Silicon Membranes Using Low-Loss STEM-EELS Imaging

Cited by 1 publication

References 5 publications

Intelligent Application of Data Mining Model in Chinese International Education

Intelligent Application of Data Mining Model in Chinese International Education

Contact Info

Product

Resources

About