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Efficient Predicate Matching over Continuous Data Streams

Hyeon-Gyu KIM, Woo-Lam KANG, Yoon-Joon LEE, Myoung-Ho KIM

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Summary :

In this paper, we propose a predicate indexing method which handles equality and inequality tests separately. Our method uses a hash table for the equality test and a balanced binary search tree for the inequality test. Such a separate structure reduces a height of the search tree and the number of comparisons per tree node, as well as the cost for tree rebalancing. We compared our method with the IBS-tree which is one of the popular indexing methods suitable for data stream processing. Our experimental results show that the proposed method provides better insertion and search performances than the IBS-tree.

Publication
IEICE TRANSACTIONS on Information Vol.E92-D No.9 pp.1787-1790
Publication Date
2009/09/01
Publicized
Online ISSN
1745-1361
DOI
10.1587/transinf.E92.D.1787
Type of Manuscript
LETTER
Category
Database

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