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Probabilistic Demand Forecasting at Scale

Summary: A production-grade Apache Spark platform for probabilistic retail demand forecasting at million-item catalog scale. It unifies preprocessing, feature engineering, distributed learning, evaluation, experimentation, and prediction ensembling through high-level ML dataflows. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
11640
Venue
VLDB
Year
2017
Pagerank
6.3287692e-05
Overall Rank
5,182 | 64.45%
DOI
10.14778/3137765.3137775

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{bose_vldb17,
        title = {{Probabilistic Demand Forecasting at Scale}},
        author = {Böse, Joos-Hendrik and Flunkert, Valentin and Gasthaus, Jan and Januschowski, Tim and Lange, Dustin and Salinas, David and Schelter, Sebastian and Seeger, Matthias and Wang, Yuyang},
        journal = {PVLDB},
        series = {{VLDB} '17},
        volume = {10},
        number = {12},
        pages = {1694--1705},
        doi = {10.14778/3137765.3137775},
        url = {https://doi.org/10.14778/3137765.3137775},
        year = {2017}
}

Incoming Citations (Sorted by Pagerank)

Showing 13 of 13 citing papers.

Rank Citing Paper Year Venue Pagerank
1,350 Automating Large-Scale Data Quality Verification 2018 VLDB 0.00011065626
1,937 Elastic Machine Learning Algorithms in Amazon SageMaker 2020 SIGMOD 9.4524758e-05
2,239 An Intermediate Representation for Optimizing Machine Learning Pipelines 2019 VLDB 8.8875753e-05
3,960 HedgeCut: Maintaining Randomised Trees for Low-Latency Machine Unlearning 2021 SIGMOD 6.9878154e-05
4,424 Classical and Contemporary Approaches to Big Time Series Forecasting 2019 SIGMOD 6.7104881e-05
5,158 Forecasting Big Time Series: Old and New 2018 VLDB 6.3404905e-05
5,681 Survivability of Cloud Databases - Factors and Prediction 2018 SIGMOD 6.1237253e-05
6,801 Unit Testing Data with Deequ 2019 SIGMOD 5.7690726e-05
8,915 A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis 2024 VLDB 5.3483178e-05
8,999 HADAD: A Lightweight Approach for Optimizing Hybrid Complex Analytics Queries 2021 SIGMOD 5.3354529e-05
11,283 A Flexible Forecasting Stack 2024 VLDB 5.093636e-05
11,479 CM-Explorer: Dissecting Data Ingestion Problems 2023 VLDB 5.093636e-05
11,685 Toto - Benchmarking the Efficiency of a Cloud Service 2021 SIGMOD 5.093636e-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
20 Distributed GraphLab: A Framework for Machine Learning and Data Mining in the Cloud 2012 VLDB 0.00056944564
24 Spark SQL: Relational Data Processing in Spark 2015 SIGMOD 0.00054865648
30 SCOPE: Easy and Efficient Parallel Processing of Massive Data Sets 2008 VLDB 0.00051174276
532 MLbase: A Distributed Machine-learning System 2013 CIDR 0.00017072641
640 Materialization Optimizations for Feature Selection Workloads 2014 SIGMOD 0.00015409494
1,079 Hybrid Parallelization Strategies for Large-Scale Machine Learning in SystemML 2014 VLDB 0.00012258469
3,714 Large-Scale Machine Learning at Twitter 2012 SIGMOD 7.1764857e-05
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