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» Rank-aware Query Optimization
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VLDB
2001
ACM
82views Database» more  VLDB 2001»
15 years 10 months ago
Supporting Incremental Join Queries on Ranked Inputs
This paper investigates the problem of incremental joins of multiple ranked data sets when the join condition is a list of arbitrary user-defined predicates on the input tuples. ...
Apostol Natsev, Yuan-Chi Chang, John R. Smith, Chu...
PODS
2005
ACM
124views Database» more  PODS 2005»
16 years 6 months ago
Diagnosis of asynchronous discrete event systems: datalog to the rescue!
We consider query optimization techniques for data intensive P2P applications. We show how to adapt an old technique from deductive databases, namely Query-Sub-Query (QSQ), to a s...
Serge Abiteboul, Stefan Haar, Tova Milo, Zoë ...
BTW
2007
Springer
109views Database» more  BTW 2007»
16 years 14 days ago
Using Aspect-Orientation to Manage Database Statistics
: Database-internal statistics are very important for cost-based query optimizers. Only if an optimizer has accurate statistical information about data, it provides excellent execu...
Uwe Hohenstein
FOCS
2006
IEEE
16 years 11 days ago
Generalization of Binary Search: Searching in Trees and Forest-Like Partial Orders
We extend the binary search technique to searching in trees. We consider two models of queries: questions about vertices and questions about edges. We present a general approach t...
Krzysztof Onak, Pawel Parys
DASFAA
2004
IEEE
95views Database» more  DASFAA 2004»
15 years 10 months ago
On Incorporating Iceberg Queries in Query Processors
Iceberg queries are a special case of SQL queries involving GROUP BY and HAVING clauses, wherein the answer set is small relative to the database size. We present here a performanc...
Krishna P. Leela, Pankaj M. Tolani, Jayant R. Hari...