A Survey on Temporal Databases and Data mining

V. Radhakrishna, P. Kumar, V. Janaki
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引用次数: 58

Abstract

Temporal database is a database which captures and maintains past, present and future data. Conventional databases are not suitable for handling such time varying data. In this context temporal database has gained a significant importance in the field of databases and data mining. The major objective of this research is to perform a detailed survey on temporal databases and the various temporal data mining techniques and explore the various research issues in temporal data mining. We also throw light on the temporal association rules and temporal clustering works carried in literature.
时态数据库与数据挖掘研究综述
时态数据库是一种捕获和维护过去、现在和未来数据的数据库。传统的数据库不适合处理这种时变数据。在这种背景下,时态数据库在数据库和数据挖掘领域具有重要的意义。本研究的主要目的是对时态数据库和各种时态数据挖掘技术进行详细的综述,并探讨时态数据挖掘中的各种研究问题。我们还对文献中进行的时间关联规则和时间聚类工作进行了阐述。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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