教授
招生学科专业:
计算机科学与技术 -- 【招收博士、硕士研究生】 -- 计算机科学与技术学院
软件工程 -- 【招收硕士研究生】 -- 计算机科学与技术学院
电子信息 -- 【招收博士、硕士研究生】 -- 计算机科学与技术学院
学历:东北大学
学位:工学博士学位
所在单位:计算机科学与技术学院/人工智能学院/软件学院
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所属单位:计算机科学与技术学院/人工智能学院/软件学院
发表刊物:Adv. Intell. Sys. Comput.
摘要:Uncertain data extensively exists in many real-world applications. And uncertain data modeling has been investigated in various database models. This has resulted in numerous contributions. Actually, uncertainty in data has devise semantics, mainly including objective uncertainty and subjective uncertainty. Different types of uncertainty may occur together and we face with hybrid uncertain data with objective uncertainty and subjective uncertainty. This paper devotes to identify the semantics and expressive forms of hybrid uncertain data with both objective uncertainty and subjective uncertainty, and presents an up-to-date overview of the current state of the art in hybrid uncertain data modeling in relational databases and object-oriented databases. © Springer Nature Switzerland AG 2019.
ISSN号:2194-5357
是否译文:否
发表时间:2019-01-01
合写作者:马宗民
通讯作者:严丽