AIDE: An Automatic User Navigation System for Interactive Data Exploration
Summary: AIDE automates interactive data exploration via relevance feedback on samples, guiding analysts to promising regions. It uses sample-based feedback to drive adaptive queries, boosting completeness and efficiency in locating all user-relevant objects. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Yanlei Diao (University of Massachusetts Amherst)
- 2. Kyriaki Dimitriadou (Brandeis University)
- 3. Zhan Li (Brandeis University)
- 4. Wenzhao Liu (University of Massachusetts Amherst)
- 5. Olga Papaemmanouil (Brandeis University)
- 6. Kemi Peng (Brandeis University)
- 7. Liping Peng (University of Massachusetts Amherst)
BibTeX Citation
@article{diao_vldb15,
title = {{AIDE: An Automatic User Navigation System for Interactive Data Exploration}},
author = {Diao, Yanlei and Dimitriadou, Kyriaki and Li, Zhan and Liu, Wenzhao and Papaemmanouil, Olga and Peng, Kemi and Peng, Liping},
journal = {PVLDB},
series = {{VLDB} '15},
volume = {8},
number = {12},
pages = {1964--1967},
doi = {10.14778/2824032.2824088},
url = {https://doi.org/10.14778/2824032.2824088},
year = {2015}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,420 | Optimization for Active Learning-based Interactive Database Exploration | 2019 | VLDB | 6.7132724e-05 |
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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.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4 | The R*-tree: An Efficient and Robust Access Method for Points and Rectangles | 1990 | SIGMOD | 0.001157935 |
| 31 | BIRCH: An Efficient Data Clustering Method for Very Large Databases | 1996 | SIGMOD | 0.00050347119 |
| 2,677 | Explore-by-Example: An Automatic Query Steering Framework for Interactive Data Exploration | 2014 | SIGMOD | 8.2682753e-05 |
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| 3 | 11,879 | Making an RDBMS Data Scientist Friendly: Advanced In-database Interactive Analytics with Visualization Support | 2019 | VLDB |
| 4 | 14,216 | IDEA: Interactive Data Exploration and Analysis | 1996 | SIGMOD |
| 5 | 11,590 | Automated Relational Data Explanation using External Semantic Knowledge | 2022 | VLDB |
| 6 | 4,420 | Optimization for Active Learning-based Interactive Database Exploration | 2019 | VLDB |
| 7 | 4,864 | SeeDB: Automatically Generating Query Visualizations | 2014 | VLDB |
| 8 | 13,740 | AIDE: Ad-hoc Intents Detection Engine over Query Logs | 2009 | SIGMOD |
| 9 | 1,506 | Query Steering for Interactive Data Exploration | 2013 | CIDR |
| 10 | 2,677 | Explore-by-Example: An Automatic Query Steering Framework for Interactive Data Exploration | 2014 | SIGMOD |