Total Quality Science最新文献_第6页

An Analytical Model of Relation between Browsing and Entry Activities on an Internet Portal Site for Job-hunting 求职门户网站浏览与进入行为的关系分析模型

Total Quality Science Pub Date : 2019-07-31 DOI: 10.17929/TQS.4.109

Yuuki Sugiyama, T. Arai, Tianxiang Yang, T. Ogihara, M. Goto

引用次数: 1

A New Analytical Model for Customer Growth Considering Potential Purchasing Preferences 考虑潜在购买偏好的客户增长新分析模型

Total Quality Science Pub Date : 2019-07-31 DOI: 10.17929/TQS.4.148

Yuri Nishio, H. Ito, Haruka Yamashita, M. Goto

{"title":"A New Analytical Model for Customer Growth Considering Potential Purchasing Preferences","authors":"Yuri Nishio, H. Ito, Haruka Yamashita, M. Goto","doi":"10.17929/TQS.4.148","DOIUrl":"https://doi.org/10.17929/TQS.4.148","url":null,"abstract":"In retail businesses, it is important to grow customers into good customers in order to increase and maintain sales. Therefore, many researches have clarified the differences of the purchasing tendency between good and other types of customers; however, in fact, it is hard to say that many retailers can take useful measures for acquiring good customers effectively by taking into account the purchase tendency. On the other hand, a latent class model has been studied as an analysis method to grasp customers’ preferences and purchasing trends from purchasing history data. In this study, we assume latent classes behind customers' purchasing data, and apply the Latent Dirichlet Allocation model to represent the differences in customers’ preferences. This model enables grasping the tendency of purchasing items in each latent class considering diversity and heterogeneity of the features of customers and items. Moreover, we propose a method to extract important items for each customer in terms of turning him/her into a good customer based on the k-nearest neighbor algorithm by using the analysis result of purchasing trends in each latent class. Furthermore, we apply the proposed model to actual purchasing history data and show the possibility of its application in practice.","PeriodicalId":301168,"journal":{"name":"Total Quality Science","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133147391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Process Analysis of Machining Process with Various Geometrical Characteristics 具有不同几何特征的加工过程的工艺分析

Total Quality Science Pub Date : 2018-12-31 DOI: 10.17929/TQS.4.75

Fumiko Ogawa, T. Tamai, Hironobu Kawamura, K. Nishina

引用次数: 1

Application of AdaBoost to Taguchi’s MT Method AdaBoost在田口MT法中的应用

Total Quality Science Pub Date : 2018-12-31 DOI: 10.17929/TQS.4.65

Suguru Sekine, Yasushi Nagata

{"title":"Application of AdaBoost to Taguchi’s MT Method","authors":"Suguru Sekine, Yasushi Nagata","doi":"10.17929/TQS.4.65","DOIUrl":"https://doi.org/10.17929/TQS.4.65","url":null,"abstract":": In pattern recognition, there are two widely used methods, MT (Mahalanobis Taguchi) and machine learning. The advantage of the MT method is that it makes it possible to detect unknown abnormal patterns. However, the discrimination accuracy is relatively lower than machine learning. In addition, there is a constraint on the variables. Alternatively, machine learning has higher discrimination accuracy than the MT method; however, discrimination of unknown abnormal patterns may be difficult. The purpose of this study is to propose a method that utilizes the strengths of both methods and eliminates the drawbacks of them. By applying AdaBoost to the MT method, the proposed method is evaluated in terms of the following. First, discrimination accuracy comparable to that obtained using machine learning is realized. Second, it is possible to accurately distinguish unknown abnormal patterns, which may pose a challenge when using machine learning. Third, the variable constraint condition in the MT method can be solved. Through analytics of breast cancer data and a created simulation data based on it, we demonstrate the superiority of the proposed method over conventional methods when the data is likely to include unknown abnormal patterns.","PeriodicalId":301168,"journal":{"name":"Total Quality Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130943721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analysis of data including missing values in the Taguchi’s T method 田口T法中包含缺失值的数据分析

Total Quality Science Pub Date : 2018-12-31 DOI: 10.17929/TQS.4.53

Yuto Nakao, Yasushi Nagata

引用次数: 3

Internal Audit for Business Continuity Management System Focused on Procedure Manuals in Hospitals 以医院程序手册为重点的业务连续性管理系统内部稽核

Total Quality Science Pub Date : 2018-12-31 DOI: 10.17929/TQS.4.92

Chisato Kajihara, Keita Kono, Masahiko Munechika, Masaaki Kaneko, M. Sano

{"title":"Internal Audit for Business Continuity Management System Focused on Procedure Manuals in Hospitals","authors":"Chisato Kajihara, Keita Kono, Masahiko Munechika, Masaaki Kaneko, M. Sano","doi":"10.17929/TQS.4.92","DOIUrl":"https://doi.org/10.17929/TQS.4.92","url":null,"abstract":": Japan is one of the most natural disaster-prone countries in the world. During a natural disaster or mass casualty incident, hospitals are likely to receive a large number of injured people. Some hospitals have established a Business Continuity Management System (BCMS) to increase healthcare resilience. One of the most important activities in a BCMS is an internal audit. This enables auditors to grasp certain problems effectively and efficiently by preparing audit items beforehand. Internal audits in BCMS target activities that take place during a disaster. There are some characteristics of disaster medicine, such as the restriction of physical and personnel resources, which do not exist in routine work. It is important to conduct an internal audit by considering these characteristics to improve the continuity of disaster medicine provision. This study aims to identify these characteristics and clarify the audit items for the BCMS. This study also demonstrates the results of an internal audit by applying the proposed audit items at an acute care hospital. Furthermore, although an internal audit has many possible focus areas, this study discusses audits from the perspective of disaster procedure manuals, which enable us to better grasp the details of disaster medicine.","PeriodicalId":301168,"journal":{"name":"Total Quality Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129303531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A proposal of review extraction method considering the knowledge amount of consumers and the purchase stage 提出了一种考虑消费者知识量和购买阶段的评论提取方法

Total Quality Science Pub Date : 2018-12-31 DOI: 10.17929/TQS.4.83

Koichi Horie, M. Onoda, Takeshi Kaneko

{"title":"A proposal of review extraction method considering the knowledge amount of consumers and the purchase stage","authors":"Koichi Horie, M. Onoda, Takeshi Kaneko","doi":"10.17929/TQS.4.83","DOIUrl":"https://doi.org/10.17929/TQS.4.83","url":null,"abstract":": Today internet shopping sites are widely used. On such sites, consumers cannot take products in their hands, so user reviews of products must be informative for the consumers. However, number of reviews are very large, so consumers cannot read them all. The may miss a very important information which can catch reading all reviews. Purpose of our research is to make a method of indicating only useful reviews for reducing consumer’s burden. We assume that useful reviews are different by consumers. We found that usefulness of reviews differs from consumers’ purpose of browsing review, and also from consumers’ knowledge about purchase target product group. We can classify consumers into six groups. Next we identified factors of useful reviews for each group. Finally we constructed models for evaluating usefulness of each reviews for each group. We made dictionaries for each factor to judge which factors are included in each review. For validating our models, we conducted questionnaires’ survey. Consumers were shown two groups of user reviews, one group contains top 10 useful reviews based on our model, and the other contains original 10 reviews which shopping site shows. We could confirm that our model can show more useful reviews to consumers.","PeriodicalId":301168,"journal":{"name":"Total Quality Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129658109","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Using change point identification in financial data to detect turning points in companies 利用财务数据中的变化点识别来检测公司的转折点

Total Quality Science Pub Date : 2018-08-31 DOI: 10.17929/TQS.4.41

Satoshi Kawamata, Yasushi Nagata

引用次数: 0

Robust defect detection method for improving inspection process 改进检测过程的鲁棒缺陷检测方法

Total Quality Science Pub Date : 2018-08-31 DOI: 10.17929/TQS.4.13

Tatsuya Iwasawa, X. Lu, Mirai Tanaka, Tomomichi Suzuki

引用次数: 0

Proposal of a Purchase Behavior Analysis Model on an Electronic Commerce Site Using Questionnaire Data 基于问卷数据的电子商务网站购买行为分析模型的提出

Total Quality Science Pub Date : 2018-08-31 DOI: 10.17929/TQS.4.1

Ryotaro Shimizu, Teppei Sakamoto, Haruka Yamashita, M. Goto

{"title":"Proposal of a Purchase Behavior Analysis Model on an Electronic Commerce Site Using Questionnaire Data","authors":"Ryotaro Shimizu, Teppei Sakamoto, Haruka Yamashita, M. Goto","doi":"10.17929/TQS.4.1","DOIUrl":"https://doi.org/10.17929/TQS.4.1","url":null,"abstract":"Due to the recent development of electronic commerce (EC) technology, sale amounts on EC sites have increased rapidly. Large amounts of consumer purchase history data can now easily be obtained, and many data-based approaches to identifying consumer purchase trends have been studied. On the other hand, since diversification of consumer consciousness such as their values and lifestyles are important for marketing research, many approaches to identifying the relationship between “consumers’ values and consciousness” and “consumers’ preferences underlying their purchase behavior” have been discussed in the existing literature. To investigate consumers’ values and consciousness, a questionnaire survey is an efficient tool. It is, however, difficult to collect questionnaire responses from all consumers due to cost issues. Therefore, it is difficult to know the values and consciousness of consumers who have not responded to the questionnaire. In this study, we propose a new model to identify both consumer purchase behavior and their consciousness based on a latent class model estimated by questionnaire responses and the purchase history data for all users. In addition, we apply the proposed model to actual data to analyze its effectiveness.","PeriodicalId":301168,"journal":{"name":"Total Quality Science","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125527978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2