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» Threshold Similarity Queries in Large Time Series Databases
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ICDE
2010
IEEE
371views Database» more  ICDE 2010»
15 years 9 months ago
TASM: Top-k Approximate Subtree Matching
Abstract-- We consider the Top-k Approximate Subtree Matching (TASM) problem: finding the k best matches of a small query tree, e.g., a DBLP article with 15 nodes, in a large docum...
Nikolaus Augsten, Denilson Barbosa, Michael H. B&o...
KDD
2004
ACM
134views Data Mining» more  KDD 2004»
15 years 10 months ago
Exploiting a support-based upper bound of Pearson's correlation coefficient for efficiently identifying strongly correlated pair
Given a user-specified minimum correlation threshold and a market basket database with N items and T transactions, an all-strong-pairs correlation query finds all item pairs with...
Hui Xiong, Shashi Shekhar, Pang-Ning Tan, Vipin Ku...
VLDB
1997
ACM
120views Database» more  VLDB 1997»
15 years 1 months ago
A Region Splitting Strategy for Physical Database Design of Multidimensional File Organizations
This paper presents a region splitting strategy for physical database design of multidimensional le organizations. Physical database design is the process of determining the optim...
Jong-Hak Lee, Young-Koo Lee, Kyu-Young Whang, Il-Y...
BMCBI
2008
142views more  BMCBI 2008»
14 years 9 months ago
Optimal neighborhood indexing for protein similarity search
Background: Similarity inference, one of the main bioinformatics tasks, has to face an exponential growth of the biological data. A classical approach used to cope with this data ...
Pierre Peterlongo, Laurent Noé, Dominique L...
SIGMOD
2009
ACM
190views Database» more  SIGMOD 2009»
15 years 10 months ago
DataLens: making a good first impression
When a database query has a large number of results, the user can only be shown one page of results at a time. One popular approach is to rank results such that the "best&quo...
Bin Liu, H. V. Jagadish