Using multiple indexes for efficient subsequence matching in time-series databases

Author:

Lim Seung-Hwan,Park Heejin,Kim Sang-Wook

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference31 articles.

1. R. Agrawal, C. Faloutsos, A. Swami, Efficient similarity search in sequence databases, in: Proceedings of the International Conference on Foundations of Data Organization and Algorithms, FODO, 1993, pp. 69–84.

2. R. Agrawal et al., Fast similarity search in the presence of noise, scaling, and translation in time-series databases, in: Proceedings of the International Conference on Very Large Data Bases, VLDB, 1995, pp. 490–501.

3. A hybrid genetic-neural architecture for stock indexes forecasting;Armano;Information Science,2005

4. N. Beckmann et al., The R∗-tree: an efficient and robust access method for points and rectangles, in: Proceedings of the ACM International Conference on Management of Data, ACM SIGMOD, 1990, pp. 322–331.

5. Finding patterns in time-series: a dynamic programming approach;Berndt;Advances in Knowledge Discovery and Data Mining,1996

Cited by 17 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Efficient Interval-focused Similarity Search under Dynamic Time Warping;Proceedings of the 16th International Symposium on Spatial and Temporal Databases;2019-08-19

2. Interactive and space-efficient multi-dimensional time series subsequence matching;Information Systems;2019-05

3. A fast LSH-based similarity search method for multivariate time series;Information Sciences;2019-02

4. A novel join technique for similar-trend searches supporting normalization on time-series databases;Proceedings of the 33rd Annual ACM Symposium on Applied Computing;2018-04-09

5. Data acquisition and data mining in the manufacturing process of computer numerical control machine tools;Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture;2017-07-18

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3