ACM Home Page
Please provide us with feedback. Feedback
Can we push more constraints into frequent pattern mining?
Full text PdfPdf (240 KB)
Source International Conference on Knowledge Discovery and Data Mining archive
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining table of contents
Boston, Massachusetts, United States
Pages: 350 - 354  
Year of Publication: 2000
ISBN:1-58113-233-6
Authors
Jian Pei  School of Computing Science, Simon Fraser University, Burnaby, B.C., Canada V5A 1S6
Jiawei Han  School of Computing Science, Simon Fraser University, Burnaby, B.C., Canada V5A 1S6
Sponsors
SIGKDD: ACM Special Interest Group on Knowledge Discovery in Data
AAAI : Am Assoc for Artifical Intelligence
SIGART: ACM Special Interest Group on Artificial Intelligence
SIGMOD: ACM Special Interest Group on Management of Data
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 5,   Downloads (12 Months): 68,   Citation Count: 31
Additional Information:

references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/347090.347166
What is a DOI?


CITED BY  31