{"title":"社会基础设施数据分析的人工智能计算机系统","authors":"Fumiya Kudo, Tomoaki Akitomi, Norihiko Moriwaki","doi":"10.1109/CBI.2015.26","DOIUrl":null,"url":null,"abstract":"Development of big data analysis technologies has been highly competitive among companies and organizations. An artificial intelligence (AI) computer system, based on the basic idea of automating big-data analysis, called \"H\" is proposed and evaluated in this paper. It automates big-data analysis by creating hundreds of thousands of candidate features related to an outcome. It was applied for analyzing work-log data in a logistics company. The evaluation results confirm the effect of the system on the productivity of the company, namely, a 5.23% improvement in productivity.","PeriodicalId":238097,"journal":{"name":"2015 IEEE 17th Conference on Business Informatics","volume":"76 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"An Artificial Intelligence Computer System for Analysis of Social-Infrastructure Data\",\"authors\":\"Fumiya Kudo, Tomoaki Akitomi, Norihiko Moriwaki\",\"doi\":\"10.1109/CBI.2015.26\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Development of big data analysis technologies has been highly competitive among companies and organizations. An artificial intelligence (AI) computer system, based on the basic idea of automating big-data analysis, called \\\"H\\\" is proposed and evaluated in this paper. It automates big-data analysis by creating hundreds of thousands of candidate features related to an outcome. It was applied for analyzing work-log data in a logistics company. The evaluation results confirm the effect of the system on the productivity of the company, namely, a 5.23% improvement in productivity.\",\"PeriodicalId\":238097,\"journal\":{\"name\":\"2015 IEEE 17th Conference on Business Informatics\",\"volume\":\"76 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-07-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE 17th Conference on Business Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CBI.2015.26\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE 17th Conference on Business Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CBI.2015.26","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Artificial Intelligence Computer System for Analysis of Social-Infrastructure Data
Development of big data analysis technologies has been highly competitive among companies and organizations. An artificial intelligence (AI) computer system, based on the basic idea of automating big-data analysis, called "H" is proposed and evaluated in this paper. It automates big-data analysis by creating hundreds of thousands of candidate features related to an outcome. It was applied for analyzing work-log data in a logistics company. The evaluation results confirm the effect of the system on the productivity of the company, namely, a 5.23% improvement in productivity.
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