マアジ鱗の可食性フィルム原料としての特性の解明とその有効利用法の開発

東京海洋大学博士学位論文 平成26年度(2014) 応用生命科学 課程博士 甲第338号指導教員: 大迫一史全文公表年月日: 2021-12-14東京海洋大学201

A Combination of Multiperiod Training Data and Ensemble Methods in Churn Classification: the Case of Housing Loan Churn

Customer retention has been the focus of customer relationship management research in the financial sector during the past decade. The first step in customer retention is to classify the customers into binary groups of possible churners, meaning customers that are likely to switch to another service provider, and non-churners, referring to those that are probably staying with the current provider. The second step in customer retention is to take action to retain the most probable churners to either minimize costs or maximize benefits. As a result, churn classification is an important first step in customer retention. However, the main challenge in churn classification is the extreme rarity of churn events. For example, the churn rate in the banking industry is usually less than 1%. In order to overcome this rarity issue, a great deal of research has been found to improve the two main aspects of a churn classification model: the training data and the algorithm. Regarding the training data, the recently proposed multi-period training data approach is found to outperform the single period training data thanks to the more effective use of longitudinal data of churn behavior. Regarding the churn classification algorithms, the most advanced and widely employed is ensemble method, which combines multiple models to produce a more powerful one. Two popularly used ensemble techniques are random forest and gradient boosting, both of which are found to outperform logistic regression and decision tree in classifying churners from non-churners. To the best of the author’s knowledge, the proposed multi-period training data has not been applied to the ensemble methods in a churn classification model. As a result, the thesis would like to study whether this multi-period training data approach, when employed together with ensemble methods in a churn classification model, produces better churn prediction than with logistic regression and decision tree. The ensemble methods used in this thesis are random forest and gradient boosting. The study uses empirical data of housing loan customers from a Nordic bank. The churn models are evaluated based on three criteria: misclassification rate, Receiver Operating Characteristics (ROC) index and top decile lift. The key finding of this thesis is models that combine multi-period training data approach with ensemble methods perform the best in the housing loan context based on the aforementioned evaluation criteria

Endless News Most Beautiful: Exploring The Visual Landscape of Journalism and Transforming The Carroll News’ Visual Identity

This project aims to explore the practice, value and impact of newspaper design and how its principles can be applied to construct a coherent visual identity for a college newspaper. The first part will examine primary and secondary sources on visual journalism, including both theoretical and visual analysis of renowned newspaper designs around the world. The second part focuses on designing a complete visual overhaul for The Carroll News. This part will include insights from key current and former Carroll News staff members through interviews, and a survey of Communications majors, who are frequently exposed to news media, to gather their opinions on the current visual presentation of The Carroll News and their inputs into the final look for the redesign

ENHANCING THE EFFICIENCY OF COMMUNICATION PROGRAMS FOR STUDENT ENROLLMENT AT UNIVERSITIES THROUGH RECIPIENT FEEDBACK (SURVEY OF STUDENTS AT DALAT UNIVERSITY IN 2021)

Researching recipient feedback is one of the important actions to enhance the quality of the communication process. This study was conducted to provide some solutions to improve the effectiveness of Dalat University’s enrollment communication process by analyzing student feedback. A survey was conducted in 2021 with a sample of 655 students from Dalat University. The results showed that students mainly knew about Dalat University through word of mouth and the Facebook channel, and that tuition fees, the benchmark, and geographical location were the main reasons students chose the university. In addition, most students showed an interest in receiving content in the form of short videos. The research results can be applied by the communication department of Dalat University and can contribute to the field of university communication research, which has not received much attention in Vietnam

Line-Field Based Adaptive Image Model for Blind Deblurring

Ph.DDOCTOR OF PHILOSOPH

A Discussion About The Concept Of Cultural And Spiritual Life And The Cultural And Spiritual Life Of Workers From Industrial Parks In Vietnam

The cultural and spiritual life plays a crucial role and should be cared for among all subjects, especially workers from industrial parks because they are major contributors to society but face many difficulties in improving the quality of their cultural and spiritual life. Moreover, in Vietnam, while there have been many studies related to spiritual and cultural life, they are basically unsystematic. Therefore, in order to create a basis for further research into the cultural and spiritual life of workers from industrial parks in Vietnam, the article focuses on clarifying theoretical issues about cultural and spiritual life and the cultural and spiritual life of workers currently working in Vietnamese industrial parks