DocumentCode
2866253
Title
Efficiently mining frequent closed partial orders
Author
Pei, Jian ; Liu, Jian ; Wang, Haixun ; Wang, Ke ; Yu, Philip S. ; Wang, Jianyong
Author_Institution
Simon Fraser Univ., Burnaby, BC, Canada
fYear
2005
fDate
27-30 Nov. 2005
Abstract
Mining ordering information from sequence data is an important data mining task. Sequential pattern mining (Agrawal and Srikant, 1995) can be regarded as mining frequent segments of total orders from sequence data. However, sequential patterns are often insufficient to concisely capture the general ordering information.
Keywords
data mining; data mining; data sequence; frequent closed partial orders mining; mining ordering information; sequential pattern mining; total orders frequent segments; Biological information theory; DNA; Data mining; Databases; Diseases; Gene expression; Information analysis; Loans and mortgages; Retirement; Sequences;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Mining, Fifth IEEE International Conference on
ISSN
1550-4786
Print_ISBN
0-7695-2278-5
Type
conf
DOI
10.1109/ICDM.2005.57
Filename
1565774
Link To Document