Intelligent Search for Correlated Alarms in Noisy Data: Revision history

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24 December 2023

  • curprev 02:5502:55, 24 December 2023‎ SatoshiNakamoto talk contribs‎ 2,034 bytes +2,034‎ Created page with "Title: Intelligent Search for Correlated Alarms in Noisy Data Abstract: This research aimed to develop an efficient method for discovering correlated alarms in a database containing noise data. The study focused on defining two parameters, Win_freq and Win_add, to measure noise data and proposed the Robust_search algorithm to solve the problem. The algorithm was designed to discover more rules with a bigger size of Win_add at different sizes. The research also compared..."
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