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User-adaptive exploration of multidimensional data
Summary: User-adaptive OLAP exploration tracks visited cube regions and builds a Maximum Entropy model of unvisited values. Users query the most surprising unvisited regions, iteratively refining the model until it matches the cube.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 8657
- Venue
- VLDB
- Year
- 2000
- Pagerank
- 0.00013730532
- Overall Rank
- 1,137 | 92.10%
- DOI
-
-
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 26 of 26 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 460 |
SeeDB: Efficient Data-Driven Visualization Recommendations to Support Visual Analytics |
2015 |
VLDB |
0.00022516069 |
| 1,000 |
Intelligent Rollups in Multidimensional OLAP Data |
2001 |
VLDB |
0.00014709252 |
| 1,420 |
Data Management Challenges in Production Machine Learning |
2017 |
SIGMOD |
0.00012057956 |
| 1,633 |
Injecting Utility into Anonymized Datasets |
2006 |
SIGMOD |
0.00011060784 |
| 2,588 |
Database Learning: Toward a Database that Becomes Smarter Every Time |
2017 |
SIGMOD |
8.4909562e-05 |
| 2,794 |
Towards Keyword-Driven Analytical Processing |
2007 |
SIGMOD |
8.1140341e-05 |
| 2,953 |
Moment-Based Quantile Sketches for Efficient High Cardinality Aggregation Queries |
2018 |
VLDB |
7.8267643e-05 |
| 3,393 |
Lux: Always-on Visualization Recommendations for Exploratory Dataframe Workflows |
2022 |
VLDB |
7.1483239e-05 |
| 3,546 |
Extracting Top-K Insights from Multi-dimensional Data |
2017 |
SIGMOD |
6.9870745e-05 |
| 4,221 |
MDL Summarization with Holes |
2005 |
VLDB |
6.348988e-05 |
| 4,540 |
Automating Exploratory Data Analysis via Machine Learning: An Overview |
2020 |
SIGMOD |
6.1033443e-05 |
| 4,614 |
Interactive Summarization and Exploration of Top Aggregate Query Answers |
2018 |
VLDB |
6.0467204e-05 |
| 4,693 |
Multi-Structural Databases |
2005 |
PODS |
5.9955924e-05 |
| 5,107 |
SeeDB: Automatically Generating Query Visualizations |
2014 |
VLDB |
5.6925578e-05 |
| 5,264 |
SeeDB: Visualizing Database Queries Efficiently |
2014 |
VLDB |
5.597302e-05 |
| 6,007 |
Data Vocalization with CiceroDB |
2019 |
CIDR |
5.2415551e-05 |
| 7,071 |
Smart Drill-Down: A New Data Exploration Operator |
2015 |
VLDB |
4.8429461e-05 |
| 8,104 |
The Cascading Analysts Algorithm |
2018 |
SIGMOD |
4.5851358e-05 |
| 8,996 |
MetaInsight: Automatic Discovery of Structured Knowledge for Exploratory Data Analysis |
2021 |
SIGMOD |
4.4124959e-05 |
| 9,035 |
Data-Driven Insight Synthesis for Multi-Dimensional Data |
2024 |
VLDB |
4.4039656e-05 |
| 10,147 |
Causal Explanations for Disparate Trends: Where and Why? |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,152 |
Data-Semantics-Aware Recommendation of Diverse Pivot Tables |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,685 |
LakeVisage: Towards Scalable, Flexible and Interactive Visualization Recommendation for Data Discovery over Data Lakes |
2025 |
VLDB |
4.1945683e-05 |
| 11,217 |
Efficient Approximation Framework for Attribute Recommendation |
2023 |
SIGMOD |
4.1945683e-05 |
| 11,384 |
BABOONS: Black-Box Optimization of Data Summaries in Natural Language |
2022 |
VLDB |
4.1945683e-05 |
| 11,646 |
A Holistic Approach for Query Evaluation and Result Vocalization in Voice-Based OLAP |
2019 |
SIGMOD |
4.1945683e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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