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Understanding how to make education effective is a critical step in educational data mining. We have considered various socioeconomic, psychological and academic factors to fully understand what a person's life is during adolescence and how those factors impact their academic performance. Using pre-processing techniques such as feature selection, data balancing, discretization and normalization, and...
It is necessary to evaluate overseas students' performance in courses learning, which is closely associated with university-level management. In this work, based on supervised statistical learning, the training set includes overseas students' marks written on their assignments, and some other attributes. Nowadays, combining different classifiers is proposed as a new direction for the improvement of...
The paper adopts the fuzzy c-means text mining method in lots of text mining methods. But aim at the defect that the initial value of the fuzzy c-means is more sensitivity and poor stability, an improved GAFCM text mining method has been put forward. GAFCM uses global search features of genetic algorithms to improve the fuzzy c-means. Finally, it has proved that the improved text mining method has...
In traditional task-driven methodology the tasks devised by the teachers are the same for every student. However, because of different ability of professional competencies of the students, some students with strong professional qualities will achieve the tasks perfectly, while others with poor professional abilities are at a loss what to do. In this paper, a graded task-driven methodology is proposed...
The ability to predict the students' academic performance is very important in institution educational system. Recently some researchers have been proposed data mining techniques for higher education. In this paper, we compare two data mining techniques which are: Artificial neural network (ANN) and the combination of clustering and decision tree classification techniques for predicting and classifying...
The evaluation of burst-proneness risks has affected the coal and rock mining progress and development. The quality evaluation system framework of burst-proneness risks indexes is established. Fuzzy evaluation index system is proposed to take into account various factors. As to index system, comprehensive fuzzy evaluation model and methods are setup and used to check for practical example. Using comprehensive...
Lexical Functional Grammar (LFG) is a multi-structure grammar that allows analyzing and generating natural language in syntactic, semantic, functional aspects and so on. This paper establishes a framework of LFG for Vietnamese (VLFG). The Vietnamese LFG may be useful for machine translation (MT) and other natural language processing (NLP) applications. Main focus of this research is concentrated in...
The traditional evolutionary algorithm for teacher/class timetabling problem commonly evolves in a slow speed and trends to be stick to local optima. In this study, an immune-inspired evolutionary algorithm is proposed to solve the above problems. The algorithm utilizes the immune mechanisms including clonal selection, hypermutation, affinity evaluation, immune elimination and memory. The corresponding...
The preferences of students in network learning are more disperse than that in traditional campus education. It has brought the personalized demand to teaching and tutoring system. A personalized tutoring system is important for effect of the network teaching and for knowledge science. For the existing network tutoring systems lack in the method and tactics of understanding userpsilas personalized...
Using Delphi method to determine the indicators and their weights of performance evaluation of enterprise's marketing team members, this paper proposes a performance evaluation model of enterprise's marketing team members based on BP neural network. Then, it operates the empirical analysis in an enterprise. The empirical results show that the model is an effective evaluation method because its output...
The strategies evaluation of e-commerce platform has affected the platform progress and development. The quality evaluation system framework of e-commerce platform strategy indicator is established. Fuzzy evaluation index system is put forward to consider various factors. As to indexes system, comprehensive fuzzy evaluation (CFE) model and methods are setup and used to check for practical case. Through...
To date, higher educational organizations are placed in a very high competitive environment. To remain competitive, one approach is to tackle the student and administration challenges through the analysis and presentation of data, or data mining. This study presents the results of applying data mining to enrollment data of Sebha University in Libya. The results can be used as a guideline or roadmap...
Urbanization is the strategic decision made by Chinese government at the turning of the new century. In a short span of six years, the urbanization in China has undergone considerable development. However, there has been a series of problems haunting us with the further development of urbanization. The paper begins with the issues caused by urbanization and explores its deep cause, and proposes the...
Teaching evaluation is an important area in the developments of schools. In this situation, the paper studies the problem through establishing fuzzy neural network model. Firstly, based on a scheme from ministry of education this paper constructs the evaluation index system. Secondly, according to the theory of fuzzy and neural network features, this paper combine them together and put forward an...
Not only has the evaluation of network courses become the bottleneck of developing online education but also affected the on-line teaching design and development. The characteristics of network course are analyzed. On this basis, the quality evaluation system framework of network courses indicator is established. Fuzzy evaluation index system is put forward to consider various factors. As to index...
Lexical phrases (LPs), with a variety of labels, have attracted a great deal of researchers' attention in recent years in both linguistics and applied linguistics. They play an important role during the process of language acquisition. Based on Nattinger & DeCarricopsilas classification of LPs from functional perspective, the paper did a study which aims at comparing the use of LPs among a native...
Conventionally, finished cutting tools are checked by human eyes. Most of the defects are minute and it is needed to be checked with a microscope. Therefore, it is a very labourous work. To lighten human load, the automatic testing system is required. The aim of this research is the development of a recognizing system for a chip on the edge by using image processing. As the preprocessing methods,...
The evaluation of degree thesis is a necessary problem. And there are many uncertainly information in the procedure of thesis writing. The evaluation indexes of thesis are often put up by qualitative analysis method. Although the index system is operated easily, there were some questions for unscientific. The evaluation index system is determined mostly to qualitative analysis in evaluation thesis...
Learning in online open networking environments turned out possible by today's widespread use of Internet technologies, has led to the development of a broad range of products for web-based courses at University level. However, although elearning in education is well established, there are a few attempts to extract information during the course final evaluation phase. In other words, while evaluation...
One of the main concerns of higher educational system is evaluating and enhancing the quality of education. In this paper, we study the application of the association rules analysis in the curricula of graduate education. Besides the support and confidence, we introduce the interestingness to decrease the useless rules. At last, give an example of its application in graduate education data.
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