Interval Disaggregate: A New Operator for Business Planning
Summary: Introduces interval disaggregation, allocating planner-specified totals across products while respecting regression-derived prediction intervals. Uses multidimensional geometry, integrates with deseasonalization, and outperforms referential disaggregation in SAP HANA experiments. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Sang K. Cha (Seoul National University; Systems, Applications, and Products Labs Korea)
- 2. Kunsoo Park (Seoul National University; Systems, Applications, and Products Labs Korea)
- 3. Changbin Song (Systems, Applications, and Products Labs Korea)
- 4. Kihong Kim (Systems, Applications, and Products Labs Korea)
- 5. Cheol Ryu (Seoul National University; Systems, Applications, and Products Labs Korea)
- 6. Sunho Lee (Seoul National University; Systems, Applications, and Products Labs Korea)
BibTeX Citation
@article{cha_vldb14,
title = {{Interval Disaggregate: A New Operator for Business Planning}},
author = {Cha, Sang K. and Park, Kunsoo and Song, Changbin and Kim, Kihong and Ryu, Cheol and Lee, Sunho},
journal = {PVLDB},
series = {{VLDB} '14},
volume = {7},
number = {13},
pages = {1381--1392},
doi = {10.14778/2733004.2733011},
url = {https://doi.org/10.14778/2733004.2733011},
year = {2014}
}
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| 155 | MAD Skills: New Analysis Practices for Big Data | 2009 | VLDB | 0.00028713176 |
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