Soheila Dehghanzadeh

72 Abonné

view maintenance linux virtualization containers docker query processing stream processing time/quality trade-off hybrid sparql querying view materialization. freshness estimation rdf data warehouse approximation continuous query processing

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À propos

lightweight graphical models for selectivity estimation without independance assumption

il y a 9 ans • 395 Vues

Approximate Continuous Query Answering Over Streams and Dynamic Linked Data Sets

il y a 9 ans • 282 Vues

Optimizing SPARQL Query Processing On Dynamic and Static Data Based on Query Time/Freshness Requirements Using Materialization

il y a 9 ans • 386 Vues

addressing tim/quality trade-off in view maintenance

il y a 9 ans • 202 Vues

Predicting Multiple Metrics for Queries: Better Decision Enabled by Machine Learning

il y a 9 ans • 544 Vues

Approximate Continuous Query Answering Over Streams and Dynamic Linked Data Sets

il y a 8 ans • 575 Vues

Performance comparison between Linux Containers and Virtual Machines

il y a 7 ans • 480 Vues

Decentralised Transactions and Accounts with Blockchain

aharth • il y a 7 ans

P&MSP2012 - Unit Testing

Daniele Dell'Aglio • il y a 11 ans

Tout plus

Soheila Dehghanzadeh

Présentations

lightweight graphical models for selectivity estimation without independance assumption

Approximate Continuous Query Answering Over Streams and Dynamic Linked Data Sets

Optimizing SPARQL Query Processing On Dynamic and Static Data Based on Query Time/Freshness Requirements Using Materialization

addressing tim/quality trade-off in view maintenance

Predicting Multiple Metrics for Queries: Better Decision Enabled by Machine Learning

Approximate Continuous Query Answering Over Streams and Dynamic Linked Data Sets

Performance comparison between Linux Containers and Virtual Machines

J’aime

Decentralised Transactions and Accounts with Blockchain

P&MSP2012 - Unit Testing