Mining quantitative maximal hyperclique patterns: A summary of results

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3918 LNAI, Issue , 2006, Pages 552-556

  Huang, Yaochun ^a   Xiong, Hui ^b   Wu, Weili ^a   Sung, Sam Y ^c  

^a UNIVERSITY OF TEXAS AT DALLAS   (United States)

^b Rutgers University   (United States)

^c South Texas College   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CORRELATION THEORY; DATA MINING; DATABASE SYSTEMS; KNOWLEDGE ENGINEERING;

BINARY ATTRIBUTES; HYPERCLIQUE PATTERNS; PEARSON'S CORRELATION COEFFICIENT; REAL-WORLD DATA SETS;

PATTERN RECOGNITION;

EID: 33745773300     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11731139_65     Document Type: Conference Paper

References (10)

1. Rakesh Agrawal, Tomasz Imielinski, and Arun N. Swami. Mining association rules between sets of items in large databases. In SIGMOD 93, May 1993.
2. U. Alon, N. Barkai, D.A. Notterman, and et al. Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissuese probed by oligonucleotide arrays. Proc. Natl. Acad. Sci, 96:6745-6750, June 1999.
3. D Burdick, M Calimlim, and J Gehrke. Mafia: A maximal frequent itemset algorithm for transactional databases. In ICDE, 2001.
4. Y. Huang, H. Xiong, W. Wu, and Z. Zhang. A hybrid approach for mining maximal hyperclique patterns. In ICTAI, 2004.
5. J.Han, J.Pei, and Y. Yin. Mining frequent patterns without candidate generation. In ACM SIGMOD, 2000.
6. D.T. Ross, U. Scherf, and et al. Systematic variation in gene expression patterns in human cancer cell lines. Nature Genetics, 24(3):227-234, 2000.
7. Michael Steinbach, Pang-Ning Tan, Hui Xiong, and Vipin Kumar. Extending the Notion of Support. In ACM SIGKDD, 2004.
8. H. Xiong, M. Steinbach, P. Tan, and V. Kumpar. HICAP: Hierarchial Clustering with Pattern Preservation. In Proc. of SIAM Int'l Conf., on Data Mining, 2004.
9. H. Xiong, P. Tan, and V. Kumar. Mining strong affinity association patterns in data sets with skewed support distribution. In ICDM 2003, USA, 2003.
10. Mahommed Zaki and Karam Gouda. Fast vertical mining using diffsets. In ACM SIGKDD, 2003.