文章基本信息

标题：A Survey of Uncertain Data Handling
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作者：Deepali Karne ; Prof Pramod Patil
期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2014
卷号：5
期号：3
页码：4405-4410
出版社：TechScience Publications
摘要：In recent years, a number of indirect data collection processes causes increase in the data uncertainty in many applications. Because of such uncertain data ,databases becomes much more complex.. In this paper, we provide some information about uncertain data mining and management applications. We will introduce the various models utilized for uncertain data representation. In the field of uncertain data management, we will examine different traditional database management methods like join processing, query processing, selectivity estimation, OLAP queries, and indexing. And In we will also see traditional mining problems such as frequent pattern mining, outlier detection, classification, and clustering. We discuss different methods to process and mine uncertain data in a variety of forms
关键词：Mining methods and algorithms; database;applications; database management; information technology;and systems.