As opposed to persistent data stored in memory medium for access on demand, transient data originated on line streams are lost if not explicitly stored. These transient data, called data streams, invalid many existing algorithms for persistent data. Paralleled with persistent data and data streams, streaming algorithms is coined which process streams with sublinear memory cost.
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- As opposed to persistent data stored in memory medium for access on demand, transient data originated on line streams are lost if not explicitly stored. These transient data, called data streams, invalid many existing algorithms for persistent data. Paralleled with persistent data and data streams, streaming algorithms is coined which process streams with sublinear memory cost. Among many methods of designing algorithms for data streams, "streamlizing" algorithms to enable algorithms to process data streams is one of possible research directions.
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- As opposed to persistent data stored in memory medium for access on demand, transient data originated on line streams are lost if not explicitly stored. These transient data, called data streams, invalid many existing algorithms for persistent data. Paralleled with persistent data and data streams, streaming algorithms is coined which process streams with sublinear memory cost.
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