Forecasting High-Dimensional Data

Summary: Forecasting high-dimensional data by forecasting a subset and predicting the rest with correlation models. Evaluates independence- and sample-based models, showing gains when correlations are fully captured; deployed in Yahoo's display system. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 4314
Venue: SIGMOD
Year: 2010
Pagerank: 4.3136057e-05
Overall Rank: 9,615 | 33.18%
DOI: -

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
11,543	FlashP: An Analytical Pipeline for Real-time Forecasting of Time-Series Relational Data	2021	VLDB	4.1905499e-05

Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
121	Improved Query Performance with Variant Indexes	1997	SIGMOD	0.00045429472

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