{"title":"基于双聚类的分销策略案例研究","authors":"Hyoin Seo, Wonil Hwang, B. Hyun, Jae-Dong Son","doi":"10.1145/3387263.3387271","DOIUrl":null,"url":null,"abstract":"Biclustering is an analytical method that allows you to find more useful information by supplementing the shortcomings of widely used cluster analysis methods. The more variables included in each object, the more suitable it is to use, and the advantages can be more highlighted in the current environment where data including various variables is accumulated. In this study, we use Biclustering to analyze data and propose strategies that are currently used in the distribution industry. The purpose of this study is to present a case where Biclustering can be used in the distribution industry.","PeriodicalId":346592,"journal":{"name":"Proceedings of the 2020 The 6th International Conference on E-Business and Applications","volume":"170 5 Pt 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Case Study on Distribution Strategy through Biclustering\",\"authors\":\"Hyoin Seo, Wonil Hwang, B. Hyun, Jae-Dong Son\",\"doi\":\"10.1145/3387263.3387271\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Biclustering is an analytical method that allows you to find more useful information by supplementing the shortcomings of widely used cluster analysis methods. The more variables included in each object, the more suitable it is to use, and the advantages can be more highlighted in the current environment where data including various variables is accumulated. In this study, we use Biclustering to analyze data and propose strategies that are currently used in the distribution industry. The purpose of this study is to present a case where Biclustering can be used in the distribution industry.\",\"PeriodicalId\":346592,\"journal\":{\"name\":\"Proceedings of the 2020 The 6th International Conference on E-Business and Applications\",\"volume\":\"170 5 Pt 1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-02-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2020 The 6th International Conference on E-Business and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3387263.3387271\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2020 The 6th International Conference on E-Business and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3387263.3387271","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Case Study on Distribution Strategy through Biclustering
Biclustering is an analytical method that allows you to find more useful information by supplementing the shortcomings of widely used cluster analysis methods. The more variables included in each object, the more suitable it is to use, and the advantages can be more highlighted in the current environment where data including various variables is accumulated. In this study, we use Biclustering to analyze data and propose strategies that are currently used in the distribution industry. The purpose of this study is to present a case where Biclustering can be used in the distribution industry.