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» Predicting query performance on the web
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ER
2004
Springer
163views Database» more  ER 2004»
14 years 17 days ago
From Ontology to Relational Databases
The semantic web envisions a World Wide Web in which data is described with rich semantics and applications can pose complex queries. Ontologies, a cornerstone of the semantic web,...
Anuradha Gali, Cindy X. Chen, Kajal T. Claypool, R...
ISBRA
2011
Springer
13 years 7 days ago
Query-Adaptive Ranking with Support Vector Machines for Protein Homology Prediction
Abstract. Protein homology prediction is a crucial step in templatebased protein structure prediction. The functions that rank the proteins in a database according to their homolog...
Yan Fu, Rong Pan, Qiang Yang, Wen Gao
EDBT
2011
ACM
199views Database» more  EDBT 2011»
13 years 10 days ago
Predicting completion times of batch query workloads using interaction-aware models and simulation
A question that database administrators (DBAs) routinely need to answer is how long a batch query workload will take to complete. This question arises, for example, while planning...
Mumtaz Ahmad, Songyun Duan, Ashraf Aboulnaga, Shiv...
CLOUD
2010
ACM
14 years 1 months ago
The case for PIQL: a performance insightful query language
Large-scale, user-facing applications are increasingly moving from relational databases to distributed key/value stores for high-request-rate, low-latency workloads. Often, this m...
Michael Armbrust, Nick Lanham, Stephen Tu, Armando...
SIGMOD
2010
ACM
187views Database» more  SIGMOD 2010»
14 years 1 months ago
PIQL: a performance insightful query language
Large-scale websites are increasingly moving from relational databases to distributed key-value stores for high request rate, low latency workloads. Often this move is motivated n...
Michael Armbrust, Stephen Tu, Armando Fox, Michael...