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• W2164150565 abstract "This report describes the results of a Laboratory-Directed Research and Development project on techniques for pattern discovery in discrete event time series data. In this project, we explored two different aspects of the pattern matching/discovery problem. The first aspect studied was the use of Dynamic Time Warping for pattern matching in continuous data. In essence, DTW is a technique for aligning time series along the time axis to optimize the similarity measure. The second aspect studied was techniques for discovering patterns in discrete event data. We developed a pattern discovery tool based on adaptations of the A-priori and GSP (Generalized Sequential Pattern mining) algorithms. We then used the tool on three different application areas--unattended monitoring system data from a storage magazine, computer network intrusion detection, and analysis of robot training data." @default.
• W2164150565 created "2016-06-24" @default.
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• W2164150565 date "2002-02-01" @default.
• W2164150565 modified "2023-09-26" @default.
• W2164150565 title "Pattern Discovery in Time-Ordered Data" @default.
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• W2164150565 doi "https://doi.org/10.2172/793315" @default.
• W2164150565 hasPublicationYear "2002" @default.
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