Mining Knowledge from Databases: An Information Network Analysis Approach
Summary: Databases as interconnected, heterogeneous information networks enable knowledge extraction beyond storage. Introduces scalable, database-oriented information-network analysis for data cleaning, integration, OLAP, and knowledge discovery with DBLP and Flickr case studies. (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. Jiawei Han (University of Illinois Urbana-Champaign)
- 2. Yizhou Sun (University of Illinois Urbana-Champaign)
- 3. Xifeng Yan (University of California Santa Barbara)
- 4. Philip S. Yu (University of Illinois Chicago)
BibTeX Citation
@inproceedings{han_sigmod10,
title = {{Mining Knowledge from Databases: An Information Network Analysis Approach}},
author = {Han, Jiawei and Sun, Yizhou and Yan, Xifeng and Yu, Philip S.},
series = {{SIGMOD} '10},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1807167.1807333},
url = {https://dl.acm.org/doi/10.1145/1807167.1807333},
year = {2010}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,752 | WINACS: Construction and Analysis of Web-Based Computer Science Information Networks | 2011 | SIGMOD | 5.3766157e-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 |
|---|---|---|---|---|
| 731 | PathSim: Meta Path-Based Top-K Similarity Search in Heterogeneous Information Networks | 2011 | VLDB | 0.00014537965 |
| 1,393 | Truth Discovery and Copying Detection in a Dynamic World | 2009 | VLDB | 0.00010934682 |
| 12,529 | iNextCube: Information Network-Enhanced Text Cube | 2009 | VLDB | 5.093636e-05 |
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