{"title":"技能依赖的自动识别","authors":"Plamen Nachev, O. Georgieva, L. Angelis","doi":"10.1145/3351556.3351580","DOIUrl":null,"url":null,"abstract":"Paper introduces a new approach of extracting relation interdependences of human skills hidden in large data sets. The dependence is presented by If-Then fuzzy rules. It is enable both to grasp the relation and to account for the appeared expertise levels. The theoretical achievements are proved by detecting dependencies between different types of sport skills. The extracted knowledge is useful in managing and selecting a successful play team.","PeriodicalId":126836,"journal":{"name":"Proceedings of the 9th Balkan Conference on Informatics","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Automatic Identification of Skills' Dependency\",\"authors\":\"Plamen Nachev, O. Georgieva, L. Angelis\",\"doi\":\"10.1145/3351556.3351580\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Paper introduces a new approach of extracting relation interdependences of human skills hidden in large data sets. The dependence is presented by If-Then fuzzy rules. It is enable both to grasp the relation and to account for the appeared expertise levels. The theoretical achievements are proved by detecting dependencies between different types of sport skills. The extracted knowledge is useful in managing and selecting a successful play team.\",\"PeriodicalId\":126836,\"journal\":{\"name\":\"Proceedings of the 9th Balkan Conference on Informatics\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 9th Balkan Conference on Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3351556.3351580\",\"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 9th Balkan Conference on Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3351556.3351580","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Paper introduces a new approach of extracting relation interdependences of human skills hidden in large data sets. The dependence is presented by If-Then fuzzy rules. It is enable both to grasp the relation and to account for the appeared expertise levels. The theoretical achievements are proved by detecting dependencies between different types of sport skills. The extracted knowledge is useful in managing and selecting a successful play team.
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