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Efficient data structures for range-aggregate queries on trees
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Source ACM International Conference Proceeding Series; Vol. 361 archive
Proceedings of the 12th International Conference on Database Theory table of contents
St. Petersburg, Russia
SESSION: Data structures and algorithms table of contents
Pages 111-120  
Year of Publication: 2009
ISBN:978-1-60558-423-2
Authors
Hao Yuan  Purdue University, Lafayette, IN
Mikhail J. Atallah  Purdue University, Lafayette, IN
Publisher
ACM  New York, NY, USA
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ABSTRACT

Graph-theoretic aggregation problems have been considered both in OLAP (grid graph) and XML (tree). This paper gives new results for MIN aggregation in a tree, where we want the MIN in a query subtree consisting of the nodes reachable from a node u along paths of length ≤ k (u and k are query parameters). The same problem is well solved when the aggregation is SUM rather than MIN, but the solutions rely on additive inverses for the "+" operator, and they fail for the MIN aggregation which is the topic of this paper. For the directed (rooted tree) case, we give an O(n) space, constant query time solution. For the undirected case, the space complexity is O(n log n) and the query time is O(log n).


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Hao Yuan: colleagues
Mikhail J. Atallah: colleagues