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» Supporting top-k join queries in relational databases
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57
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EDBT
2009
ACM
136views Database» more  EDBT 2009»
15 years 4 months ago
Finding frequent co-occurring terms in relational keyword search
Given a set Q of keywords, conventional keyword search (KS) returns a set of tuples, each of which (i) is obtained from a single relation, or by joining multiple relations, and (i...
Yufei Tao, Jeffrey Xu Yu
91
Voted
SSDBM
2003
IEEE
136views Database» more  SSDBM 2003»
15 years 2 months ago
Acceleration of Relational Index Structures Based on Statistics
Relational index structures, as for instance the Relational Interval Tree, the Relational R-Tree, or the Linear Quadtree, support efficient processing of queries on top of existin...
Hans-Peter Kriegel, Peter Kunath, Martin Pfeifle, ...
LWA
2004
14 years 11 months ago
Efficient Frequent Pattern Mining in Relational Databases
Data mining on large relational databases has gained popularity and its significance is well recognized. However, the performance of SQL based data mining is known to fall behind ...
Xuequn Shang, Kai-Uwe Sattler, Ingolf Geist
SIGMOD
2012
ACM
202views Database» more  SIGMOD 2012»
13 years 2 days ago
MCJoin: a memory-constrained join for column-store main-memory databases
There exists a need for high performance, read-only mainmemory database systems for OLAP-style application scenarios. Most of the existing works in this area are centered around t...
Steven Keith Begley, Zhen He, Yi-Ping Phoebe Chen
182
Voted
ICDE
2003
IEEE
170views Database» more  ICDE 2003»
15 years 11 months ago
Keyword Proximity Search on XML Graphs
XKeyword provides efficient keyword proximity queries on large XML graph databases. A query is simply a list of keywords and does not require any schema or query language knowledg...
Vagelis Hristidis, Yannis Papakonstantinou, Andrey...