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ISSN 2063-5346
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Sliding window based pattern mining from non-stationary stream data

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G.S.Thakur, Sudhanshu Kumar
» doi: 10.31838/ecb/2023.12.s2.226

Abstract

Frequent Pattern Mining (FPM) from stream data is the process of discovering patterns that occur frequently in a continuous and potentially infinite stream of data. Stream data is characterized by high data velocity, large data volume, and limited storage capacity. Therefore, traditional batch-based frequent pattern mining techniques may not be feasible for stream data.

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