Rule Activation Techniques in

نویسنده

  • Walter A. Haas
چکیده

EEcient activation of rules is a fundamental issue in active database systems; choosing the suitable rule activation technique is therefore an important task. We have developed a technique, called join pattern indexing, to support incremental update of rule-derived data. In this paper, we compare join pattern indexing with discrimination networks (Rete and TREAT) for data-derivation rules. A performance study based on a stochastic model indicates that join pattern indexing is more eecient than discrimination networks in many cases.

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تاریخ انتشار 1996