A fast algorithm for subspace clustering by pattern similarity
Haixun Wang, Fang Chu, et al.
SSDBM 2004
Relational query languages can effectively express continuous queries on data streams after modest extensions. However, implementing such queries efficiently in data stream management systems requires major changes in execution models and optimization techniques. In particular, finer-granularity execution models that are conducive to effective time-stamp management and response-time optimization must replace databases' relational algebra schemes. This article introduces such a model and uses it to solve the idle-waiting problems of data stream operators, such as unions, joins, and aggregates over windows with slides. © 2008 IEEE.
Haixun Wang, Fang Chu, et al.
SSDBM 2004
Haoliang Jiang, Haixun Wang, et al.
ICDE 2007
Haixun Wang, Hao He, et al.
ICDE 2006
Xiaohui Gu, Philip S. Yu, et al.
ICDE 2007