时间戳时间数据集相似性度量的研究

IF 2.2 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Data Pub Date : 2021-04-05 DOI:10.1145/3460620.3460754
Aravind Cheruvu, V. Radhakrishna
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引用次数: 0

摘要

时态事务数据库是在时态方面存储数据的事务性数据库。在时态数据挖掘任务中使用度量相似度对于检索数据中的信息和感兴趣的模式具有重要意义。在执行数据挖掘任务时,理解和决定我们应该使用什么相似性度量总是至关重要的,这总是由实际数据和时态数据集的性质驱动的。本研究的主要目的是对最近的研究贡献中用于时间数据挖掘的各种相似性度量进行详细的调查。本文还基于文献中开展的工作,提供了如何在时态关联规则挖掘算法中使用这些相似性度量的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Survey of Similarity Measures for Time stamped Temporal Datasets
Temporal transactional databases are transactional databases which store data in a temporal aspect. Usage of similarity of measures in temporal data mining tasks have gained significant importance to retrieve information and interesting patterns in data. It is always crucial to understand and decide what similarity measure we should use while performing a data mining task and this is always driven by the actual data and nature of the temporal data sets. The main objective of this research is to perform a detailed survey of the various similarity measures used in the temporal data mining in recent research contributions. This paper also provides insights on how these similarity measures are used in the Temporal association rule mining algorithms based on the works carried out in the literature.
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来源期刊
Data
Data Decision Sciences-Information Systems and Management
CiteScore
4.30
自引率
3.80%
发文量
0
审稿时长
10 weeks
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