Clustering by pattern similarity in large data sets
Haixun Wang, Wei Wang, et al.
SIGMOD 2002
A lack of power and extensibility in their query languages has seriously limited the generality of DBMSs and hampered their ability to support new applications domains, such as datamining. In this paper, we solve this problem by stream-oriented aggregate functions and generalized table functions definable by users in the SQL language itself-rather than in an external programming language. These simple extensions turn SQL into a powerful database language, Which can express a wide range of applications, including recursive queries, ROLAP aggregates, time-series queries, stream-oriented processing, and datamining functions.
Haixun Wang, Wei Wang, et al.
SIGMOD 2002
Yijian Bai, Hetal Thakkar, et al.
IEEE Internet Computing
Jian Pei, Jian Liu, et al.
ICDM 2005
Wei Fan, Haixun Wang, et al.
ICDM 2002