![]() This requires extra techniques or input data to solve the problem correctly. The second, time series data, is often nonstationary, which indicates that the statistics of the time series data, such as mean, variance, and so on, change over time. That is why it is thought that financial markets cannot be predicted . The first challenge is that it cannot be certain that a piece of time series data consists of enough information to fully describe the real-world process. The analysis of time series data, especially the short one, has been considered one of the most challenging problems in the area of data mining . Time series data is a group of sampled sequential data points from a continuous process over time. ![]() The academic development can be represented by the variation trend of specified statistical indicators, which is the main research object of this article.Īs a matter of fact, the study of variation patterns of university academic indicators is a typical problem of short time series data analysis. As a matter of fact, the academic growing potential can serve as the basis of policies as well as one more reference for university evaluation, just as what trend analysis can do in the fields of finance, energy, and other industries. In other words, previous work only focused on the academic level comparison among different universities but lacked the excavation of academic-level development with time for the single school. During our research, we noticed that although there had been quite a lot of work on the design of evaluation criteria for academic level rating in a period , not so much attention has been paid to the analysis of academic growth potential. In addition, we have conducted studies on the academic growing potential of individuals . Our previous work has researched the effects of different academic indicators and proposed a new evaluation method of the university academic level based on statistical manifolds. In the mainstream university leaderboards, the academic performance of a university is usually quantified as various statistical indicators, e.g., the number of published papers, the amount of research funding and so on. In addition, this paper gives the prediction results as a reference, which provides a new perspective for the development evaluation of the academic performance of colleges and universities.Īcademic performance is crucial for evaluating the level of universities. By comparing the prediction results given by the Markov chain as well as SVM on the original data and TDA statistics, respectively, we demonstrate that the data generated by TDA methods can help construct very discriminative models and have a great advantage over the traditional models. ![]() The performance of the proposed method is evaluated by experiments on a real-world university academic performance dataset. Because traditional statistical methods and deep learning techniques have proven to be incapable of handling short time series data well, this paper proposes to adopt topological data analysis (TDA) to extract specified features from short time series data and then construct the model for the prediction of trend of university academic performance. Although the number of papers on university academic evaluation is increasing, few scholars have conducted research on the changing trend of university academic performance. The site usually gives the person's information, including their employment status.With the rapid development of higher education, the evaluation of the academic growth potential of universities has received extensive attention from scholars and educational administrators. Visit and click on the 'address' tab, provide the person's correct address, and click the 'Search' button. Here are the steps to follow at Radaris if you want to determine whether a person is working. Alternatively, you can visit and search for the owner of a house by name, phone number, or email address. All you need to do is key in the house's address, zip code, state, or city. ![]() ![]() You can find the owner of the house you are interested in at. When you activate this feature, you will be given real-time notifications on your account's activities, including people searching for your information. comes with a radar feature on their platform, which is very helpful in finding out who is searching for you online. How to tell if someone is searching for you online? You can find arrest records for Yanyu Pan in our background checks if they exist. Yanyu Pan's address is 31 River St, Jersey City, NJ 07310. FAQ: Learn more about our top result for Yanyu Pan What is Yanyu Pan's address? ![]()
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