PeriodicSketch: Finding Periodic Items in Data Streams
Author:
Affiliation:
1. Peking University,School of Computer Science, and National Engineering Laboratory for Big Data Analysis Technology and Application,Beijing,China
Funder
Key-Area Research and Development Program of Guangdong Province
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9835153/9835154/09835334.pdf?arnumber=9835334
Reference48 articles.
1. Generating Network Intrusion Detection Dataset Based on Real and Encrypted Synthetic Attack Traffic
2. SAZED: parameter-free domain-agnostic season length estimation in time series data
3. Detecting Multiple Periods and Periodic Patterns in Event Time Sequences
4. STAGGER: Periodicity Mining of Data Streams Using Expanding Sliding Windows
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1. Scout Sketch: Finding Promising Items in Data Streams;IEEE INFOCOM 2024 - IEEE Conference on Computer Communications;2024-05-20
2. SteadySketch: A High-Performance Algorithm for Finding Steady Flows in Data Streams;IEEE/ACM Transactions on Networking;2024
3. OneSketch: A Generic and Accurate Sketch for Data Streams;IEEE Transactions on Knowledge and Data Engineering;2023-12-01
4. SteadySketch: Finding Steady Flows in Data Streams;2023 IEEE/ACM 31st International Symposium on Quality of Service (IWQoS);2023-06-19
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