{"title":"在产品规划中创造基本假设和规则——引入溯因推理模型","authors":"Jun Nakamura","doi":"10.1109/ICDMW.2014.63","DOIUrl":null,"url":null,"abstract":"The abductive inference model has been discussed in the context of business strategy. However, the model seems unrealistic for applications in the real business world. Therefore, this study improves the model by formalizing experimental case studies in a web-based workplace for generating product ideas. The developed model implies the needs for visualizing human's thought process to create hypothesis and rules in product planning is a clue to designing data market place.","PeriodicalId":289269,"journal":{"name":"2014 IEEE International Conference on Data Mining Workshop","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Creating Essential Hypothesis and Rules in Product Planning -- Introducing Abductive Inference Model\",\"authors\":\"Jun Nakamura\",\"doi\":\"10.1109/ICDMW.2014.63\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The abductive inference model has been discussed in the context of business strategy. However, the model seems unrealistic for applications in the real business world. Therefore, this study improves the model by formalizing experimental case studies in a web-based workplace for generating product ideas. The developed model implies the needs for visualizing human's thought process to create hypothesis and rules in product planning is a clue to designing data market place.\",\"PeriodicalId\":289269,\"journal\":{\"name\":\"2014 IEEE International Conference on Data Mining Workshop\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE International Conference on Data Mining Workshop\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDMW.2014.63\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Conference on Data Mining Workshop","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDMW.2014.63","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Creating Essential Hypothesis and Rules in Product Planning -- Introducing Abductive Inference Model
The abductive inference model has been discussed in the context of business strategy. However, the model seems unrealistic for applications in the real business world. Therefore, this study improves the model by formalizing experimental case studies in a web-based workplace for generating product ideas. The developed model implies the needs for visualizing human's thought process to create hypothesis and rules in product planning is a clue to designing data market place.