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» Algorithms for Querying by Spatial Structure
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EDBT
1992
ACM
111views Database» more  EDBT 1992»
15 years 7 months ago
Pipelined Query Processing in the DBGraph Storage Model
The DBGraph storage model, designed for main memory DBMS, ensures both data storage compactness and efficient processing for all database operations. By representing the entire da...
Philippe Pucheral, Jean-Marc Thévenin
ICDE
2005
IEEE
103views Database» more  ICDE 2005»
16 years 5 months ago
Vectorizing and Querying Large XML Repositories
Vertical partitioning is a well-known technique for optimizing query performance in relational databases. An extreme form of this technique, which we call vectorization, is to sto...
Peter Buneman, Byron Choi, Wenfei Fan, Robert Hutc...
120
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VLDB
2001
ACM
115views Database» more  VLDB 2001»
15 years 8 months ago
Dynamic Update Cube for Range-sum Queries
A range-sum query is very popular and becomes important in finding trends and in discovering relationships between attributes in diverse database applications. It sums over the se...
Seok-Ju Chun, Chin-Wan Chung, Ju-Hong Lee, Seok-Ly...
CORR
2012
Springer
222views Education» more  CORR 2012»
13 years 12 months ago
A limit process for partial match queries in random quadtrees
We consider the problem of recovering items matching a partially specified pattern in multidimensional trees (quad trees and k-d trees). We assume the classical model where the d...
Nicolas Broutin, Ralph Neininger, Henning Sulzbach
SIGMOD
2012
ACM
203views Database» more  SIGMOD 2012»
13 years 6 months ago
Optimizing index for taxonomy keyword search
Query substitution is an important problem in information retrieval. Much work focuses on how to find substitutes for any given query. In this paper, we study how to efficiently ...
Bolin Ding, Haixun Wang, Ruoming Jin, Jiawei Han, ...