A query-driven approach to the design and management of flexible database systems

被引:0
作者
Chen, ANK [1 ]
Goes, PB
Marsden, JR
机构
[1] Arizona State Univ, Tempe, AZ 85287 USA
[2] Univ Connecticut, TECI, Storrs, CT 06269 USA
[3] Univ Connecticut, CITI, Dept Operat & Informat Management, Sch Business Adm, Storrs, CT 06269 USA
关键词
database management; database querying; data mining; inductive learning; information retrieval; neural networks;
D O I
10.1080/07421222.2002.11045739
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The need for timely information in the e-business world provides the impetus to develop a flexible database system with the capability to adapt and maintain performance levels under changing queries and changing business environments. Recognizing the importance of providing fast access to a variety of read-only applications in today's e-business world, we introduce the systems architecture for developing and implementing a flexible database system to achieve considerable gains in processing times of read queries. The key component of a flexible database system is query mining, the concept of determining relationships among query properties, alternative database structures, and query processing times. We validate the flexible database system concept through extensive laboratory experiments, where we embed learning tools to demonstrate the implementation of query mining.
引用
收藏
页码:121 / 154
页数:34
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