Open AccessJournal Article
Time-series Rules Mining
3
TL;DR: The paper gives the algorithm for mining time-series pattern or rules and illustrates the technique to be effective and feasible.
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Abstract: This paper presents a novel time-series pattern and rule mining technique.The technique is that the time-series data waiting for mining is first converted into sub-time-series data,and then the knowledge underlying in the sub-time-series data is used as a guide to mine the original time series and extract the association rules from them.The paper gives the algorithm for mining time-series pattern or rules and illustrates the technique to be effective and feasible.
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Citations
Research on the factors influencing nanofiltration membrane fouling and the prediction of membrane fouling
Wenjing Zheng,Yan Chen,Xiaohu Xu,Xing Peng,Yalin Niu,Pengcheng Xu,Tian Li +6 more
TL;DR: This study examines factors influencing nanofiltration membrane fouling, including raw water quality, membrane material, and operating conditions, and explores the application of machine learning techniques for predicting membrane fouling and optimizing water treatment processes.
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Time series mining technique based on varying series and rough set approach
Wang-yong
- 25 Jun 2008
TL;DR: The mining approach of basing on rough set theory is to import the varying- series data set into a decision table first, and then to use the knowledge, underlying in the condition attribute set equivalence class, to estimate the forecasting object.
1
Time series mining technique based on varying series and rough set approach
Wang Yong
- 01 Oct 2006
TL;DR: The mining technique basing on varying series is first to convert the time series waiting for studying into its varying series, and then to use the information hiding in the latest time subseries of the time-series varying series to guide us to forecast the variety of the original time series.