Making Subsequence Time Series Clustering Meaningful-Reference-Cited by-同舟云学术

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Making Subsequence Time Series Clustering Meaningful

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Container-title:Fifth IEEE International Conference on Data Mining (ICDM'05)
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Author:

Chen J.R.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/10470/33217/01565669.pdf?arnumber=1565669

Cited by 24 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. Identifying daily water consumption patterns based on K-means Clustering, Agglomerative Hierarchical Clustering, and Spectral Clustering algorithms;AQUA — Water Infrastructure, Ecosystems and Society;2024-04-27

2. Load profile mining using directed weighted graphs with application towards demand response management;Applied Energy;2022-04

3. A Hierarchical Subsequence Clustering Method for Tracking Program States in Spectrograms;MILCOM 2021 - 2021 IEEE Military Communications Conference (MILCOM);2021-11-29

4. Is Clustering Time-Series Water Depth Useful? An Exploratory Study for Flooding Detection in Urban Drainage Systems;Water;2020-08-30

5. Time series data analysis using Artificial Immune System;Intelligent Decision Technologies;2018-03-07

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