Author List: Chen, Andrew N. K.; Goes, Paulo B.; Marsden, James R.;
Journal of Management Information Systems, 2002, Volume 19, Issue 3, Page 121-154.
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.
Keywords: data mining; database management; database querying; inductive learning; information retrieval; neural networks
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List of Topics

#281 0.228 database language query databases natural data queries relational processing paper using request views access use matching automated semantic based languages
#287 0.174 design systems support development information proposed approach tools using engineering current described developing prototype flexible built architecture environment integrated designing
#26 0.145 business large organizations using work changing rapidly make today's available designed need increasingly recent manage years activity important allow achieve
#97 0.126 set approach algorithm optimal used develop results use simulation experiments algorithms demonstrate proposed optimization present analytical distribution selection number existing
#81 0.073 applications application reasoning approach cases support hypertext case-based prototype problems consistency developed benchmarking described efficient practical address activity demonstrate effective
#215 0.052 data classification statistical regression mining models neural methods using analysis techniques performance predictive networks accuracy method variables prediction problem measure