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ICACT20230139 Question.1
Questioner: phamdinhlam@kyonggi.ac.kr    2023-02-22 ¿ÀÈÄ 12:36:31
ICACT20230139 Answer.1
Answer by Auhor ida@niad.ac.jp   2023-02-22 ¿ÀÈÄ 12:36:31
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Could you explain more about the data used in the experimental results? Much content in the paper refers to the paper [2], but I can not download it. Could you provide the link for downloading the paper [2] and the data used in this study? Thank you very much for your question. As for data in our research and development, we use various data as follows: (1) Conventional financial indicators (or financial analysis ratio) of Japanese universities; URL https://www.niad.ac.jp/support/university_finance/summary/entry-4663.html (2) Basic education data of Japanese universities; URL https://portal.niad.ac.jp/ptrt/table.html (3) Generated new indicators derived from the combination of (1) and (2). In order to examine the relations and features in the set of these data, we are developing the decision support system with interactive visualization functions equipped with the methods of various data science methods of correlation analysis, dimensionality reduction, clustering method and so on.
ICACT20230139 Question.2
Questioner: mjs9908@g.skku.edu    2023-02-22 ¿ÀÈÄ 12:36:56
ICACT20230139 Answer.2
Answer by Auhor ida@niad.ac.jp   2023-02-22 ¿ÀÈÄ 12:36:56
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hi thank you for your presentaiton Is there any problem when dimension reduction task like PCA. Thank you very much for your question. Users (or experts of this university financial field) utilize repeatedly our decision support system in exploratory way for searching and finding new features of the sets of "indicators" and "universities". In the case of selecting an inappropriate combination of indicators, there exists a possibility of causing numerical troubles such as multicollinearity in the field of regression analysis.
ICACT20230139 Question.3
Questioner: phamdinhlam@kyonggi.ac.kr    2023-02-22 ¿ÀÈÄ 12:37:13
ICACT20230139 Answer.3
Answer by Auhor ida@niad.ac.jp   2023-02-22 ¿ÀÈÄ 12:37:13
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What are applications of results of this study? Thank you very much for your question. Our proposed tools here are used for examining the financial and non-financial information of Japanese universities. As for application examples, individual universities use the tool for supporting information disclosure or university reformation and future institutional planning by searching and finding the characteristics of their own university in comparison with similar peer universities. It is also used to find their excellent characteristics of own university that were not noticed before.