Data-induced predicates for sideways information passing in query optimizers von Kandula, Srikanth, Orr, Laurel, Chaudhuri, Surajit

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Learning string transformations from examples von Arasu, Arvind, Chaudhuri, Surajit, Kaushik, Raghav

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Mining document collections to facilitate accurate approximate entity matching von Chaudhuri, Surajit, Ganti, Venkatesh, Xin, Dong

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Auto-BI: Automatically Build BI-Models Leveraging Local Join Prediction and Global Schema Graph von Lin, Yiming, He, Yeye, Chaudhuri, Surajit

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High-Performance Row Pattern Recognition Using Joins von Zhu, Erkang, Huang, Silu, Chaudhuri, Surajit

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The Seattle Report on Database Research von Abadi, Daniel, Ailamaki, Anastasia, Andersen, David, Bailis, Peter, Balazinska, Magdalena, Bernstein, Philip, Boncz, Peter, Chaudhuri, Surajit, Cheung, Alvin, Doan, AnHai, Dong, Luna, Franklin, Michael J., Freire, Juliana, Halevy, Alon, Hellerstein, Joseph M., Idreos, Stratos, Kossmann, Donald, Kraska, Tim, Krishnamurthy, Sailesh, Markl, Volker, Melnik, Sergey, Milo, Tova, Mohan, C., Neumann, Thomas, Chin Ooi, Beng, Ozcan, Fatma, Patel, Jignesh, Pavlo, Andrew, Popa, Raluca, Ramakrishnan, Raghu, Ré, Christopher, Stonebraker, Michael, Suciu, Dan

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Selectivity estimation for range predicates using lightweight models von Dutt, Anshuman, Wang, Chi, Nazi, Azade, Kandula, Srikanth, Narasayya, Vivek, Chaudhuri, Surajit

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Pushing data-induced predicates through joins in big-data clusters von Kandula, Srikanth, Orr, Laurel, Chaudhuri, Surajit

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Auto-pipeline: synthesizing complex data pipelines by-target using reinforcement learning and search von Yang, Junwen, He, Yeye, Chaudhuri, Surajit

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Auto-join: joining tables by leveraging transformations von Zhu, Erkang, He, Yeye, Chaudhuri, Surajit

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COMPARE: accelerating groupwise comparison in relational databases for data analytics von Siddiqui, Tarique, Chaudhuri, Surajit, Narasayya, Vivek

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Efficiently approximating selectivity functions using low overhead regression models von Dutt, Anshuman, Wang, Chi, Narasayya, Vivek, Chaudhuri, Surajit

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Analyzing the Impact of Cardinality Estimation on Execution Plans in Microsoft SQL Server von Lee, Kukjin, Dutt, Anshuman, Narasayya, Vivek, Chaudhuri, Surajit

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Cache-Efficient Top-k Aggregation over High Cardinality Large Datasets von Siddiqui, Tarique, Narasayya, Vivek, Dumitru, Marius, Chaudhuri, Surajit

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DISTILL: low-overhead data-driven techniques for filtering and costing indexes for scalable index tuning von Siddiqui, Tarique, Wu, Wentao, Narasayya, Vivek, Chaudhuri, Surajit

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Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples von Li, Peng, He, Yeye, Yan, Cong, Wang, Yue, Chaudhuri, Surajit

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ClusterJoin: a similarity joins framework using map-reduce von Das Sarma, Akash, He, Yeye, Chaudhuri, Surajit

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DSB: a decision support benchmark for workload-driven and traditional database systems von Ding, Bailu, Chaudhuri, Surajit, Gehrke, Johannes, Narasayya, Vivek

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Transform-data-by-example (TDE): an extensible search engine for data transformations von He, Yeye, Chu, Xu, Ganjam, Kris, Zheng, Yudian, Narasayya, Vivek, Chaudhuri, Surajit

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Leveraging query logs and machine learning for parametric query optimization von Vaidya, Kapil, Dutt, Anshuman, Narasayya, Vivek, Chaudhuri, Surajit

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