Mining High Utility Subgraphs
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9679833/9679835/09679947.pdf?arnumber=9679947
Reference22 articles.
1. FHM: Faster High-Utility Itemset Mining Using Estimated Utility Co-occurrence Pruning
2. A Novel Approach for Mining High-Utility Sequential Patterns in Sequence Databases
3. gSpan: graph-based substructure pattern mining;yan;2002 IEEE International Conference on Data Mining, 2002. Proceedings.,2002
4. Mining Heavy Subgraphs in Time-Evolving Networks
5. Mining Temporal Networks
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