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The Generalized MDL Approach for Summarization

Summary: GMDL generalizes MDL for region-based OLAP summaries; allows don't-care cells to merge into larger regions, yielding fewer regions and more concise answers. It provides region-finding algorithms for fully spatial and hierarchical categorical dimensions, with runtime and compression results. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
8892
Venue
VLDB
Year
2002
Pagerank
9.6134804e-05
Overall Rank
2,074 | 85.58%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 8 of 8 citing papers.

Rank Citing Paper Year Venue Pagerank
388 Graph Summarization with Bounded Error 2008 SIGMOD 0.00024662272
1,099 Interpretable and Informative Explanations of Outcomes 2015 VLDB 0.00014096312
3,858 Distributed Query Processing and Catalogs for Peer-to-Peer Systems 2003 CIDR 6.6913167e-05
4,221 MDL Summarization with Holes 2005 VLDB 6.348988e-05
4,334 Diamond in the Rough: Finding Hierarchical Heavy Hitters in Multi-Dimensional Data 2004 SIGMOD 6.2798179e-05
7,172 Summarized Causal Explanations For Aggregate Views 2024 SIGMOD 4.8114797e-05
7,222 Guided Exploration of Data Summaries 2022 VLDB 4.797186e-05
8,104 The Cascading Analysts Algorithm 2018 SIGMOD 4.5851358e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 0 of 0 cited papers.

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

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