This paper presents a new approach for query cost evaluation that may help or replace the known analytical approach. Our proposed approach is based on neural networks and the connectionist concept. A neural network is trained to learn the execution cost of the implementation algorithm(s) for a logical algebra operation (or query) with some predicates; after that, this network is used to estimate this operation (query) cost with other entries. The approach is based on a curve fitting li ke since… CONTINUE READING