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Äll roads lead to Rome": optimistic recovery for distributed iterative data processing.

, , , and . CIKM, page 1919-1928. ACM, (2013)

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Benchmarking Distributed Data Processing Systems for Machine Learning Workloads., , , and . TPCTC, volume 11135 of Lecture Notes in Computer Science, page 42-57. Springer, (2018)Efficient Incremental Cooccurrence Analysis for Item-Based Collaborative Filtering., , and . SSDBM, page 61-72. ACM, (2019)ADABench - Towards an Industry Standard Benchmark for Advanced Analytics., , , , , , , , , and . TPCTC, volume 12257 of Lecture Notes in Computer Science, page 47-63. Springer, (2019)Understanding Multi-channel Customer Behavior in Retail., , , , , and . CIKM, page 2867-2871. ACM, (2021)Gilbert: Declarative Sparse Linear Algebra on Massively Parallel Dataflow Systems., , , and . BTW, volume P-265 of LNI, page 269-288. GI, (2017)Elastic Machine Learning Algorithms in Amazon SageMaker., , , , , , , , , and 14 other author(s). SIGMOD Conference, page 731-737. ACM, (2020)ReCANet: A Repeat Consumption-Aware Neural Network for Next Basket Recommendation in Grocery Shopping., , , , , and . SIGIR, page 1240-1250. ACM, (2022)How to Make an Outlier? Studying the Effect of Presentational Features on the Outlierness of Items in Product Search Results., , , and . CHIIR, page 346-350. ACM, (2023)Towards Unsupervised Data Quality Validation on Dynamic Data., , and . EDBT/ICDT Workshops, volume 2578 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)A Flexible Forecasting Stack., , , , , , , , , and 3 other author(s). Proc. VLDB Endow., 17 (12): 3883-3892 (August 2024)