A hybrid approach for mining maximal hyperclique patterns

@article{Huang2004AHA,
  title={A hybrid approach for mining maximal hyperclique patterns},
  author={Yaochun Huang and Hui Xiong and Weili Wu and Zhongnan Zhang},
  journal={16th IEEE International Conference on Tools with Artificial Intelligence},
  year={2004},
  pages={354-361}
}
A hyperclique pattern [H. Xiong et al. (2003)] is a new type of association pattern that contains items which are highly affiliated with each other. More specifically, the presence of an item in one transaction strongly implies the presence of every other item that belongs to the same hyperclique pattern. We present a new algorithm for mining maximal hyperclique patterns, which are desirable for pattern-based clustering methods [H. Xiong et al. (2004)]. This algorithm exploits key advantages of… CONTINUE READING

Citations

Publications citing this paper.
Showing 1-9 of 9 extracted citations

Mining non-derivable hypercliques

Knowledge and Information Systems • 2011
View 6 Excerpts
Highly Influenced

Co-Clustering Bipartite with Pattern Preservation for Topic Extraction

International Journal on Artificial Intelligence Tools • 2008

Hypergraph Based Document Categorization: Frequent Itemsets vs Hypercliques

2007 International Conference on Machine Learning and Cybernetics • 2007
View 1 Excerpt

Preserving Patterns in Bipartite Graph Partitioning

2006 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'06) • 2006
View 2 Excerpts

References

Publications referenced by this paper.
Showing 1-9 of 9 references

A Hybrid Approach for Mining Maximal Hyperclique Patterns. In Technical Report UTDCS-34-04, Department of computer science, University of Texas - Dallas

Y. Huang, H. Xiong, W. Wu, Z. Zhang
2004
View 2 Excerpts

Similar Papers

Loading similar papers…