DBScholar

Back to papers

Mining Knowledge from Interconnected Data: A Heterogeneous Information Network Analysis Approach

Summary: Recasts databases as heterogeneous information networks (HINs), emphasizing typed objects and links rather than repository-style storage. Surveys efficient mining methods that exploit these semantics to discover knowledge from complex, semi-structured interconnected data. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
10652
Venue
VLDB
Year
2012
Pagerank
5.093636e-05
Overall Rank
12,345 | 15.31%
DOI
10.14778/2367502.2367566

Incoming Non-self Citations Over Time

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

Authors

BibTeX Citation

@article{sun_vldb12,
        title = {{Mining Knowledge from Interconnected Data: A Heterogeneous Information Network Analysis Approach}},
        author = {Sun, Yizhou and Han, Jiawei and Yan, Xifeng and Yu, Philip S.},
        journal = {PVLDB},
        series = {{VLDB} '12},
        volume = {5},
        number = {12},
        doi = {10.14778/2367502.2367566},
        url = {https://doi.org/10.14778/2367502.2367566},
        year = {2012}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank Citing Paper Year Venue Pagerank
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 1 / 1 Next

Semantically Similar Papers