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Probabilistic Demand Forecasting at Scale

Summary: Probabilistic demand forecasting at scale platform on Spark for retail, with preprocessing, feature engineering, distributed learning, and ensembling. End-to-end design with ensemble machinery and a dataflow abstraction, showing unmatched real-world scalability for forecasting. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11452
Venue
VLDB
Year
2017
Pagerank
5.6003925e-05
Overall Rank
5,257 | 63.43%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 13 of 13 citing papers.

Rank Citing Paper Year Venue Pagerank
1,482 Automating Large-Scale Data Quality Verification 2018 VLDB 0.00011725533
2,163 Elastic Machine Learning Algorithms in Amazon SageMaker 2020 SIGMOD 9.3949234e-05
2,350 An Intermediate Representation for Optimizing Machine Learning Pipelines 2019 VLDB 8.9788641e-05
3,806 HedgeCut: Maintaining Randomised Trees for Low-Latency Machine Unlearning 2021 SIGMOD 6.7492837e-05
4,476 Classical and Contemporary Approaches to Big Time Series Forecasting 2019 SIGMOD 6.1517903e-05
4,888 Forecasting Big Time Series: Old and New 2018 VLDB 5.8531064e-05
5,719 Survivability of Cloud Databases - Factors and Prediction 2018 SIGMOD 5.3550742e-05
6,993 Unit Testing Data with Deequ 2019 SIGMOD 4.8693227e-05
8,744 A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis 2024 VLDB 4.456315e-05
8,980 HADAD: A Lightweight Approach for Optimizing Hybrid Complex Analytics Queries 2021 SIGMOD 4.4169807e-05
11,077 A Flexible Forecasting Stack 2024 VLDB 4.1945683e-05
11,280 CM-Explorer: Dissecting Data Ingestion Problems 2023 VLDB 4.1945683e-05
11,487 Toto - Benchmarking the Efficiency of a Cloud Service 2021 SIGMOD 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
22 SCOPE: Easy and Efficient Parallel Processing of Massive Data Sets 2008 VLDB 0.0008456613
37 Distributed GraphLab: A Framework for Machine Learning and Data Mining in the Cloud 2012 VLDB 0.0007522744
66 Spark SQL: Relational Data Processing in Spark 2015 SIGMOD 0.00061639801
543 MLbase: A Distributed Machine-learning System 2013 CIDR 0.00020526854
761 Materialization Optimizations for Feature Selection Workloads 2014 SIGMOD 0.00017053783
1,402 Hybrid Parallelization Strategies for Large-Scale Machine Learning in SystemML 2014 VLDB 0.00012180605
3,601 Large-Scale Machine Learning at Twitter 2012 SIGMOD 6.9315087e-05
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4,476 Classical and Contemporary Approaches to Big Time Series Forecasting 2019 SIGMOD 6.1517903e-05
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