Total Quality Science最新文献_第5页

Imbalanced data classification procedure based on SMOTE 基于SMOTE的不平衡数据分类方法

Total Quality Science Pub Date : 2020-01-25 DOI: 10.17929/tqs.5.64

Daiki Gyoten, Masato Ohkubo, Yasushi Nagata

引用次数: 4

A Study of Feature Clustering Analysis based on the Hidden Layer Representation of an Autoencoder 基于隐层表示的自编码器特征聚类分析研究

Total Quality Science Pub Date : 2019-09-30 DOI: 10.17929/tqs.5.11

Shimpei Kanazawa, Yuuki Sugiyama, Tianxiang Yang, M. Goto

{"title":"A Study of Feature Clustering Analysis based on the Hidden Layer Representation of an Autoencoder","authors":"Shimpei Kanazawa, Yuuki Sugiyama, Tianxiang Yang, M. Goto","doi":"10.17929/tqs.5.11","DOIUrl":"https://doi.org/10.17929/tqs.5.11","url":null,"abstract":": Analysis of customer purchase behavior is an active research area. Several recent studies in this area have focused on detecting groups based on similar features from the available business data. One of the efficient approaches used for dividing all data into several groups with similar features is called clustering. Application of clustering to customer or item data can generate results that can help a company develop efficient marketing strategies. However, it is a non-trivial task to apply a general clustering method to a dataset with high dimensionality and sparsity owing to the difficulty of defining an appropriate similarity metric between the data samples. In this situation, one should reduce the dimensionality of data in advance. The autoencoder is a well-known model based on neural network, which can convert high-dimensional nonlinear data to low-dimensional expressions. In this research, we propose a method for clustering high-dimensional sparse data efficiently with deep learning method. The first step of our proposed method is to adopt SDAE for dimensionality reduction. The second step is to conduct a clustering analysis using the hidden layer expressions of SADE. The effectiveness and the usability of the proposed method are clarified through its application on real purchase history data.","PeriodicalId":301168,"journal":{"name":"Total Quality Science","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133518750","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

Analytical Model of Customer Purchase Behavior Considering Page Transitions on EC Site 考虑页面过渡的EC网站顾客购买行为分析模型

Total Quality Science Pub Date : 2019-09-30 DOI: 10.17929/tqs.5.23

M. Hotoda, H. Mizuochi, G. Kumoi, M. Goto

{"title":"Analytical Model of Customer Purchase Behavior Considering Page Transitions on EC Site","authors":"M. Hotoda, H. Mizuochi, G. Kumoi, M. Goto","doi":"10.17929/tqs.5.23","DOIUrl":"https://doi.org/10.17929/tqs.5.23","url":null,"abstract":": Along with the recent developments in information technology, purchasing on E-commerce (EC) sites has become popular and Web marketing measures are growing in significance. However, conversion rates on EC sites are usually not high, so there is room for improvement in Web marketing. In general, a user browses each page on an EC site before he/she purchases an item, and in many cases, the user leaves the EC site without purchasing. Therefore, constructing a binary classification model with browsing paths is considered here to obtain some findings for an effective Web marketing strategy. This model learns the customers’ browsing history data with their purchase and non-purchase labels that are accumulated on an EC site. It is generally considered that there are different page transition tendencies between purchasing and non-purchasing users on an EC site. This study focuses on the difference in page transition patterns between purchasing and non-purchasing users. To model customers’ page transition behaviors, N -gram and mutual information are introduced to select features from browsing history data. In addition, a binary classification experiment using real browsing history data was carried out and the effectiveness of the proposed method is demonstrated.","PeriodicalId":301168,"journal":{"name":"Total Quality Science","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126982789","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

Proposal for a univariate time series analysis method based on Taguchi’s T - method 基于田口T -方法的单变量时间序列分析方法的提出

Total Quality Science Pub Date : 2019-09-30 DOI: 10.17929/tqs.5.1

Matsui Shushiro, Nagata Yasushi

引用次数: 2

Quality Control for Private Statistics about the Estimated Scale of the Foodservice Market 有关餐饮服务市场估计规模的私人统计资料的质素控制

Total Quality Science Pub Date : 2019-09-30 DOI: 10.17929/tqs.5.34

Yukari Ueki, Tomohiro Nakajima, Hironobu Kawamura

{"title":"Quality Control for Private Statistics about the Estimated Scale of the Foodservice Market","authors":"Yukari Ueki, Tomohiro Nakajima, Hironobu Kawamura","doi":"10.17929/tqs.5.34","DOIUrl":"https://doi.org/10.17929/tqs.5.34","url":null,"abstract":": Statistics are indispensable for understanding how industries are structured and for developing business strategies. Here, we aim to improve the estimation accuracy in the statistics for the estimated scale of the foodservice market. First, three selected statistical surveys of the foodservice industry were evaluated to determine if they can be used for a new estimation method. Second, a new method was proposed for estimating the scale of the foodservice market. Finally, we assessed the accuracy of the missing-value supplementation in four types of estimation methods. Our results showed that the sales from JF yearbook, a survey of the foodservice industry by Nikkei's Marketing Journal, and the Basic Survey on Small and Medium Enterprises can all be used for estimating the scale of the foodservice market. Moreover, by combining the data from the three surveys and conducting a limited additional survey of the enterprises not included in these surveys, a more reliable estimate for the scale of the foodservice market could be obtained. Finally, it was found that the random forest algorithm was the best unified supplementation method; the highest accuracy can be obtained by applying the most suitable method for each industry and combining the results.","PeriodicalId":301168,"journal":{"name":"Total Quality Science","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115771905","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

A Study on the Swiss Draw Style Tournament System Reflecting Game Results and Their Content 反映比赛结果的瑞士抽签式比赛制度及其内容研究

Total Quality Science Pub Date : 2019-09-30 DOI: 10.17929/tqs.5.45

K. Umemura, Tomomichi Suzuki, Yasushi Nagata

{"title":"A Study on the Swiss Draw Style Tournament System Reflecting Game Results and Their Content","authors":"K. Umemura, Tomomichi Suzuki, Yasushi Nagata","doi":"10.17929/tqs.5.45","DOIUrl":"https://doi.org/10.17929/tqs.5.45","url":null,"abstract":": In tournament systems, round robin tournament and elimination tournament are different methods for facilitating and organizing the games while featuring competitions which involve only two participants per match, and they are used prominently for ranking participants. However, each tournament system has disadvantages, such as the time required to complete the tournament and difficulties in ranking all participants. To compensate for these disadvantages, our previous study proposed a new tournament system that uses a paired comparison methodology based on the concepts of cyclic designs and Swiss system tournaments. We focused on the relationship between the rank estimated by each method and the true strengths of players while comparing the accuracy of each tournament system ranking and the number of games required to complete each tournament system. In this study, we add a new evaluation index that accounts for the relationship between estimated rankings and the game results, such as the number of wins and acquired sets. We indicate that the rank estimated using our proposed method reflects not only the game content but also the game results. Moreover, the actual Elo rating value is used to establish the strength of players. The usefulness of the proposed method is verified by reproducing a more realistic situation.","PeriodicalId":301168,"journal":{"name":"Total Quality Science","volume":"303 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132841174","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

Extraction of Health Condition Type from Personal Histories of Specific Medical Examination 从特定医学检查个人病史中提取健康状况类型

Total Quality Science Pub Date : 2019-07-31 DOI: 10.17929/TQS.4.138

Naoki Ikabata, Y. Seki, Junya Hujisaki, T. Sanada, Azusa Kamachi, Mika Tanigawa

{"title":"Extraction of Health Condition Type from Personal Histories of Specific Medical Examination","authors":"Naoki Ikabata, Y. Seki, Junya Hujisaki, T. Sanada, Azusa Kamachi, Mika Tanigawa","doi":"10.17929/TQS.4.138","DOIUrl":"https://doi.org/10.17929/TQS.4.138","url":null,"abstract":": In Japan, Specific medical examination is conducted for national health insurance subscribers of 40 to 74 years old to prevent lifestyle-related diseases. However, problems remain in effective utilization of these examination results. In this research, we classify health condition types using SOM, one of clustering method, from the Specific health examination results of Izumi City, Osaka Prefecture. We also examined how these types change. As a result of SOM, health conditions were divided into 20 nodes, and it was found that these nodes are characterized by blood pressure, blood glucose level and so on respectively. We divide these nodes into three patterns: healthy, boundary and metabolic. The metabolic pattern was found to have higher medical expenses and medical treatment rates than healthy pattern. In addition, it was found that each pattern transits via the boundary pattern during the 6 years, i.e. data collection term. Furthermore, the medical cost has been on an upward trend at any node, however we can confirmed the node which has transition to a node with a low medical expenses, and in these node, increase in medical expenses are suppressed. Our future work is how to reduce medical expenses by human intervention such as health classroom.","PeriodicalId":301168,"journal":{"name":"Total Quality Science","volume":"47 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":"124805102","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

A study on risk assessment and countermeasures planning in hospitals during a disaster 灾害中医院风险评估与对策规划研究

Total Quality Science Pub Date : 2019-07-31 DOI: 10.17929/TQS.4.119

Ryosuke Takahashi, Masahiko Munechika, Chisato Kajihara

引用次数: 0

Optimal policy for periodic inspections with flexible imperfect inspection frequencies 具有弹性不完全检查频率的定期检查的最优策略

Total Quality Science Pub Date : 2019-07-31 DOI: 10.17929/TQS.4.128

Lu Jin, N. Koyama, Watalu Yamamoto

引用次数: 0

Hierarchical Structure Learning in a Bayesian Network for the Analysis of Purchasing Behavior 购买行为分析的贝叶斯网络层次结构学习

Total Quality Science Pub Date : 2019-07-31 DOI: 10.17929/TQS.4.99

Ryota Kawabe, H. Ito, Haruka Yamashita, M. Goto

{"title":"Hierarchical Structure Learning in a Bayesian Network for the Analysis of Purchasing Behavior","authors":"Ryota Kawabe, H. Ito, Haruka Yamashita, M. Goto","doi":"10.17929/TQS.4.99","DOIUrl":"https://doi.org/10.17929/TQS.4.99","url":null,"abstract":": In the original Bayesian network model, the hierarchical structure of the variables is not assumed. When modeling the relation between the sales of products in a retail industry, it is better to consider a hierarchical structure of items (e.g., first, second, and third classifications). To apply a Bayesian network to such data, we have to focus on one hierarchy only in order to acquire a Bayesian network model. However, focusing only on the first or second classification provides a high-level view, but makes it difficult to understand customers’ purchasing behavior in detail. On the other hand, focusing on the third classification results in a considerable number of nodes and a complicated network structure. Thus, capturing the overall relationship between products is not straightforward. Therefore, we propose a hierarchical Bayesian network model and a new learning method based on max-min hill-climbing learning algorithm. In the proposed method, we focus on the hierarchical structure of products, which enables us to construct a lower layer that considers the causal relationships in the upper layer. Furthermore, we investigate a case study using actual hierarchical data on consumer purchases, and demonstrate the proposed model using a simulation analysis.","PeriodicalId":301168,"journal":{"name":"Total Quality Science","volume":"41 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":"121459725","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