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» Predicting query performance on the web
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ER
2004
Springer
163views Database» more  ER 2004»
15 years 9 months 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...
321
Voted
ISBRA
2011
Springer
14 years 8 months 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»
14 years 8 months 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
15 years 10 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...
135
Voted
SIGMOD
2010
ACM
187views Database» more  SIGMOD 2010»
15 years 10 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...