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
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;
Conference_Titel :
Data Mining, Fifth IEEE International Conference on
Print_ISBN :
0-7695-2278-5
DOI :
10.1109/ICDM.2005.57
