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: 8968
Venue: VLDB
Year: 2001
Pagerank: 0.00013243386
Overall Rank: 915 | 93.73%
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	0.00026096009
410	SeeDB: Efficient Data-Driven Visualization Recommendations to Support Visual Analytics	2015	VLDB	0.0001890421
663	A Formal Approach to Finding Explanations for Database Queries	2014	SIGMOD	0.00015174751
986	Effortless Data Exploration with zenvisage: An Expressive and Interactive Visual Analytics System	2017	VLDB	0.0001281777
1,147	Data Management Challenges in Production Machine Learning	2017	SIGMOD	0.00011974846
2,171	Multi-Dimensional Regression Analysis of Time-Series Data Streams	2002	VLDB	9.0406168e-05
2,993	MRI: Meaningful Interpretations of Collaborative Ratings	2011	VLDB	7.8804914e-05
3,774	QC-Trees: An Efficient Summary Structure for Semantic OLAP	2003	SIGMOD	7.1381444e-05
4,204	MDL Summarization with Holes	2005	VLDB	6.834169e-05
4,395	Automating Exploratory Data Analysis via Machine Learning: An Overview	2020	SIGMOD	6.7271323e-05
4,638	Going Beyond Provenance: Explaining Query Answers with Pattern-based Counterbalances	2019	SIGMOD	6.5919801e-05
4,864	SeeDB: Automatically Generating Query Visualizations	2014	VLDB	6.4736789e-05
5,329	SeeDB: Visualizing Database Queries Efficiently	2014	VLDB	6.2634965e-05
6,391	Fast-Forwarding to Desired Visualizations with zenvisage	2017	CIDR	5.8893647e-05
6,884	Explaining Inference Queries with Bayesian Optimization	2021	VLDB	5.7465524e-05
6,932	Summarized Causal Explanations For Aggregate Views	2024	SIGMOD	5.7362362e-05
7,003	Guided Exploration of Data Summaries	2022	VLDB	5.7278883e-05
9,773	Fair and Actionable Causal Prescription Ruleset	2025	SIGMOD	5.2209769e-05
10,436	Causal Explanations for Disparate Trends: Where and Why?	2026	SIGMOD	5.093636e-05
10,979	Finding Convincing Views to Endorse a Claim	2025	VLDB	5.093636e-05
11,617	On Detecting Cherry-picked Generalizations	2022	VLDB	5.093636e-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
27	Fast Algorithms for Mining Association Rules	1994	VLDB	0.00052255472
349	Knowledge Discovery in Databases: An Attribute-Oriented Approach	1992	VLDB	0.00020432737
456	Discovery of Multiple-Level Association Rules from Large Databases	1995	VLDB	0.00018124452
700	Explaining differences in multidimensional aggregates	1999	VLDB	0.00014871032
965	User-adaptive exploration of multidimensional data	2000	VLDB	0.00012933878

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