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
- 2. Yizhou Sun
- 3. Xifeng Yan
- 4. Philip S. Yu
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,548 | WINACS: Construction and Analysis of Web-Based Computer Science Information Networks | 2011 | SIGMOD | 4.4937074e-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 |
|---|---|---|---|---|
| 768 | PathSim: Meta Path-Based Top-K Similarity Search in Heterogeneous Information Networks | 2011 | VLDB | 0.00016919065 |
| 1,246 | Truth Discovery and Copying Detection in a Dynamic World | 2009 | VLDB | 0.0001307161 |
| 12,335 | iNextCube: Information Network-Enhanced Text Cube | 2009 | VLDB | 4.1945683e-05 |
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