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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)

Paper ID
4423
Venue
SIGMOD
Year
2010
Pagerank
5.093636e-05
Overall Rank
12,444 | 14.63%
DOI
10.1145/1807167.1807333

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

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.

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