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- W2187948620 abstract "There are many well established algorithms for frequent pattern mining on static databases. But most of them use multiple pass algorithms. Whereas in case of stream data, we need to use only one pass algorithm as data is large and continuously evolving. Also other factors like memory management, data processing model, data structure to be used also need to be considered. This paper will provide researchers with all basic information about factors to be considered for frequent pattern mining on stream data." @default.
- W2187948620 created "2016-06-24" @default.
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- W2187948620 date "2013-01-01" @default.
- W2187948620 modified "2023-09-23" @default.
- W2187948620 title "Factors Influencing Frequent Pattern Mining on Stream Data" @default.
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