Intelligent Rollups in Multidimensional OLAP Data

Summary: Introduces an intelligent rollups operator for multidimensional OLAP that generalizes a specific problem case to the broadest context along roll-up paths. A flexible cost-based framework and efficient algorithm enable compact, interpretable summaries and interactive exploration on large data cubes. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: h9bc72024ed0a18fe
Venue: VLDB
Year: 2001
Pagerank: 0.000130092
Overall Rank: 929 | 93.78%
DOI: -

Incoming Non-self Citations Over Time

Authors

1. Gayatri Sathe (Indian Institute of Technology Mumbai)
2. Sunita Sarawagi (Indian Institute of Technology Mumbai)

BibTeX Citation

@article{sathe_vldb01,
        title = {{Intelligent Rollups in Multidimensional OLAP Data}},
        author = {Sathe, Gayatri and Sarawagi, Sunita},
        journal = {PVLDB},
        series = {{VLDB} '01},
        year = {2001}
}

Incoming Citations (Sorted by Pagerank)

Showing 21 of 21 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
191	Scorpion: Explaining Away Outliers in Aggregate Queries	2013	VLDB	0.0002578784
395	SeeDB: Efficient Data-Driven Visualization Recommendations to Support Visual Analytics	2015	VLDB	0.00019125046
672	A Formal Approach to Finding Explanations for Database Queries	2014	SIGMOD	0.00014903109
924	Effortless Data Exploration with zenvisage: An Expressive and Interactive Visual Analytics System	2017	VLDB	0.00013033863
1,151	Data Management Challenges in Production Machine Learning	2017	SIGMOD	0.000117662
2,222	Multi-Dimensional Regression Analysis of Time-Series Data Streams	2002	VLDB	8.8048988e-05
3,041	MRI: Meaningful Interpretations of Collaborative Ratings	2011	VLDB	7.7068251e-05
3,859	QC-Trees: An Efficient Summary Structure for Semantic OLAP	2003	SIGMOD	6.9540456e-05
4,298	MDL Summarization with Holes	2005	VLDB	6.6640493e-05
4,519	Automating Exploratory Data Analysis via Machine Learning: An Overview	2020	SIGMOD	6.551459e-05
4,742	Going Beyond Provenance: Explaining Query Answers with Pattern-based Counterbalances	2019	SIGMOD	6.4285195e-05
5,003	SeeDB: Automatically Generating Query Visualizations	2014	VLDB	6.306747e-05
5,476	SeeDB: Visualizing Database Queries Efficiently	2014	VLDB	6.1008903e-05
6,450	Summarized Causal Explanations For Aggregate Views	2024	SIGMOD	5.7635046e-05
6,530	Fast-Forwarding to Desired Visualizations with zenvisage	2017	CIDR	5.7368132e-05
7,050	Explaining Inference Queries with Bayesian Optimization	2021	VLDB	5.5965026e-05
7,173	Guided Exploration of Data Summaries	2022	VLDB	5.578213e-05
9,612	On Detecting Cherry-picked Generalizations	2022	VLDB	5.1376962e-05
9,990	Fair and Actionable Causal Prescription Ruleset	2025	SIGMOD	5.0845476e-05
10,697	Causal Explanations for Disparate Trends: Where and Why?	2026	SIGMOD	4.9605343e-05
11,422	Finding Convincing Views to Endorse a Claim	2025	VLDB	4.9605343e-05

Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
29	Fast Algorithms for Mining Association Rules	1994	VLDB	0.00051028332
362	Knowledge Discovery in Databases: An Attribute-Oriented Approach	1992	VLDB	0.00019941025
468	Discovery of Multiple-Level Association Rules from Large Databases	1995	VLDB	0.00017705907
700	Explaining differences in multidimensional aggregates	1999	VLDB	0.00014642224
986	User-adaptive exploration of multidimensional data	2000	VLDB	0.00012645438

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	324	An Array-Based Algorithm for Simultaneous Multidimensional Aggregates	1997	SIGMOD
2	5,647	Combi-Operator – Database Support for Data Mining Applications	2003	VLDB
3	1,131	Simultaneous Optimization and Evaluation of Multiple Dimensional Queries	1998	SIGMOD
4	4,256	A Foundation for Multi-Dimensional Databases	1997	VLDB
5	1,725	Spreadsheets in RDBMS for OLAP	2003	SIGMOD
6	5,198	Extending Practical Pre-Aggregation in On-Line Analytical Processing	1999	VLDB
7	986	User-adaptive exploration of multidimensional data	2000	VLDB
8	3,200	Extracting Top-K Insights from Multi-dimensional Data	2017	SIGMOD
9	3,850	High-Dimensional OLAP: A Minimal Cubing Approach	2004	VLDB
10	700	Explaining differences in multidimensional aggregates	1999	VLDB