Editing Open Problems:6
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{{Header | {{Header | ||
| + | |title=Filtering Irrelevant Data | ||
|source=kanpur06 | |source=kanpur06 | ||
|who=Sariel Har-Peled | |who=Sariel Har-Peled | ||
}} | }} | ||
For many problems most of the stream is irrelevant and a good use of a streaming algorithm could be to filter out the irrelevant parts of the stream such that the data left is small enough to be processed by an I/O efficient algorithm. How effective can a small-space algorithm be at such filtering for a given problem? An alternative idea that addresses similar issues is to allow a data stream algorithm to delete and annotate the stream and take multiple passes as in {{cite|DemetrescuFR-06}}. If the deletion of irrelevant elements was a large component of the algorithm then it would not make sense to measure the total number of passes taken by the algorithm but, rather, the total number of elements processed. | For many problems most of the stream is irrelevant and a good use of a streaming algorithm could be to filter out the irrelevant parts of the stream such that the data left is small enough to be processed by an I/O efficient algorithm. How effective can a small-space algorithm be at such filtering for a given problem? An alternative idea that addresses similar issues is to allow a data stream algorithm to delete and annotate the stream and take multiple passes as in {{cite|DemetrescuFR-06}}. If the deletion of irrelevant elements was a large component of the algorithm then it would not make sense to measure the total number of passes taken by the algorithm but, rather, the total number of elements processed. | ||
