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Scalable Rule-Based Gene Expression Data Classification.

, , and . ICDE, page 1062-1071. IEEE Computer Society, (2008)

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Towards Multi-Tenant Performance SLOs., , , and . IEEE Trans. Knowl. Data Eng., 26 (6): 1447-1463 (2014)Wimpy node clusters: what about non-wimpy workloads?, , and . DaMoN, page 47-55. ACM, (2010)When Free Is Not Really Free: What Does It Cost to Run a Database Workload in the Cloud?, , , and . TPCTC, volume 7144 of Lecture Notes in Computer Science, page 163-179. Springer, (2011)Rethinking Query Processing for Energy Efficiency: Slowing Down to Win the Race., , and . IEEE Data Eng. Bull., 34 (1): 12-23 (2011)Periscope/SQ: Interactive Exploration of Biological Sequence Databases., , and . VLDB, page 1406-1409. ACM, (2007)Survivability of Cloud Databases - Factors and Prediction., , and . SIGMOD Conference, page 811-823. ACM, (2018)Partial results in database systems., , , and . SIGMOD Conference, page 1275-1286. ACM, (2014)Scalable Rule-Based Gene Expression Data Classification., , and . ICDE, page 1062-1071. IEEE Computer Society, (2008)Towards Energy-Efficient Database Cluster Design., , , , and . Proc. VLDB Endow., 5 (11): 1684-1695 (2012)Predictive Provisioning: Efficiently Anticipating Usage in Azure SQL Database., , , , , , , and . ICDE, page 1111-1116. IEEE Computer Society, (2017)