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ConfSeer: Leveraging Customer Support Knowledge Bases for Automated Misconfiguration Detection
Summary: ConfSeer leverages a KB of natural-language fixes to detect misconfigurations in software configurations. End-to-end NLP, IR, and interactive learning enable scalable, accurate matching; deployed in Microsoft OMS with 80–97.5% accuracy and low overhead.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 11061
- Venue
- VLDB
- Year
- 2015
- Pagerank
- 4.1905499e-05
- Overall Rank
- 11,938 | 17.04%
- DOI
-
-
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No non-self incoming citations found for this paper in this database.
Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
Outgoing Citations (Sorted by Pagerank)
Showing 11 of 11 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 318 |
Evaluation of entity resolution approaches on real-world match problems |
2010 |
VLDB |
0.00027850417 |
| 365 |
Annotating and Searching Web Tables Using Entities, Types and Relationships |
2010 |
VLDB |
0.00025616694 |
| 423 |
Tuning Database Configuration Parameters with iTuned |
2009 |
VLDB |
0.00023628474 |
| 1,068 |
Probase: A Probabilistic Taxonomy for Text Understanding |
2012 |
SIGMOD |
0.00014316508 |
| 1,628 |
PARIS: Probabilistic Alignment of Relations, Instances, and Schema |
2012 |
VLDB |
0.00011074773 |
| 3,570 |
Large-Scale Collective Entity Matching |
2011 |
VLDB |
6.9563715e-05 |
| 6,179 |
Query-Driven Approach to Entity Resolution |
2013 |
VLDB |
5.1645342e-05 |
| 6,574 |
Supporting Keyword Search in Product Database: A Probabilistic Approach |
2013 |
VLDB |
4.999847e-05 |
| 7,590 |
Scalable Column Concept Determination for Web Tables Using Large Knowledge Bases |
2013 |
VLDB |
4.6987033e-05 |
| 7,640 |
Bitlist: New Full-text Index for Low Space Cost and Efficient Keyword Search |
2013 |
VLDB |
4.6859388e-05 |
| 8,153 |
When Speed Has a Price: Fast Information Extraction Using Approximate Algorithms |
2013 |
VLDB |
4.5710056e-05 |
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