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Improving tuple reconstruction for tiered column stores: a workload-aware ansatz based on table reordering., , and . ACSW, page 25:1-25:10. ACM, (2017)Analyzing Data Relevance and Access Patterns of Live Production Database Systems., , , , , , , , and . CIKM, page 2473-2475. ACM, (2016)Dealing with the dimensionality curse in dynamic pricing competition: Using frequent repricing to compensate imperfect market anticipations., and . Comput. Oper. Res., (2018)Budget-Conscious Fine-Grained Configuration Optimization for Spatio-Temporal Applications., , and . Proc. VLDB Endow., 15 (13): 4079-4092 (2022)Evaluating Lightweight Integer Compression Algorithms in Column-Oriented In-Memory DBMS., , , , and . ADMS@VLDB, page 26-36. (2021)Data-Driven Repricing Strategies in Competitive Markets: An Interactive Simulation Platform., , , , , , , , and . RecSys, page 355-357. ACM, (2017)A Cost-Aware and Workload-Based Index Advisor for Columnar In-Memory Databases., , , and . ICIST, volume 639 of Communications in Computer and Information Science, page 285-299. (2016)Hyrise Re-engineered: An Extensible Database System for Research in Relational In-Memory Data Management., , , , , and . EDBT, page 313-324. OpenProceedings.org, (2019)Improving Box Office Result Predictions for Movies Using Consumer-Centric Models., , and . KDD, page 655-664. ACM, (2018)Quantifying TPC-H Choke Points and Their Optimizations., , , and . Proc. VLDB Endow., 13 (8): 1206-1220 (2020)