MaPle: A fast algorithm for maximal pattern-based clustering

Proceedings - IEEE International Conference on Data Mining, ICDM

Volumn , Issue , 2003, Pages 259-266

  Pei, Jian ^a   Zhang, Xiaoling ^a   Cho, Moonjung ^a   Wang, Haixun ^b   Yu, Philip S ^b  

^a UNIVERSITY AT BUFFALO   (United States)

^b IBM T J WATSON RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 5444223340     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. C.C. Aggarwal et al. Fast algorithms for projected clustering. In SIGMOD'99.
2. C.C. Aggarwal and P.S. Yu. Finding generalized projected clusters in high dimensional spaces. In SIGMOD'00.
3. R. Agrawal et al. Automatic subspace clustering of high dimensional data for data mining applications. In SIGMOD' 98.
4. R. Agrawal et al. Mining association rules between sets of items in large databases. In SIGMOD'93.
5. R. Agrawal and R. Srikant. Fast algorithms for mining association rules. In VLDB'94.
6. K. S. Beyer et al. When is "nearest neighbor" meaningful? In ICDT'99.
7. C. H. Cheng et al. Entropy-based subspace clustering for mining numerical data. In KDD'99.
8. Y. Cheng and G.M. Church. Biclustering of expression data. In Proc. of the 8th Int'l Conf on Intelligent System for Molecular Biology.
9. J. Han et al. Mining frequent patterns without candidate generation. In SIGMOD'00.
10. H. V. Jagadish et al. Semantic compression and pattern extraction with fascicles. In VLDB'99.
11. S. Tavazoie et al. Yeast micro data set. In http://arep.med.harvard.edu/ biclustering/yeast.matrix, 2000.
12. H. Wang et al. Clustering by pattern similarity in large data sets. In SIGMOD'02.
13. J. Yang et al. δ-cluster: Capturing subspace correlation in a large data set. In ICDE'02.