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Case density, 21, 108, 190 Case distance, 19. See also Fuzzy similarity; Similarity Case evaluation, 207 Case feature weighting genetic algorithms, 102 gradient-descent technique, 99 learning, 169 neural networks, 101 Case generation. See also Case selection fuzzy representation, 52 linguistic representation, 54 methodology, 56 1-NN classi cation, 62 reducts, 52. See also Rough sets retrieval, 60 rule generation, 58 Case indexing back propagation neural network, 71 Bayesian model, 64 de nition, 23 genetic algorithms, 219 prototype-based neural network, 69 traditional method, 63 Case inference , 215 Case organization breadth- st graph search, 35 discrimination networks, 36 at memory, 35 hierarchical memory, 36 parallel search, 36 redundant discrimination networks, 36 serial search, 35 shared feature networks, 35 Case representation comparison, 42 at feature-value vector, 23 fuzzy frame, 214 fuzzy sets, 80, 201, 213, 224 object-oriented, 40 predicate, 41 relational, 38 Case retrieval fuzzy neural network, 206 fuzzy sets, 215. See also Fuzzy similarity genetic algorithms, 220 neural network, 105, 225 rough-fuzzy approach, 60 Case selection. See also Case generation Bayes classi er, 119 b-index, 127 deletion, 110 entropy, 126

Haynes and Moore, 1988 Haynes and Moore, 1988

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COUGAR: this protocol [35] abstracts from the format used to compile a query (which is left to be application-dependent) and utilizes data aggregation to reduce the amount of transmission in the network It differs from DD in that it makes nodes select a leader to perform data aggregation The leader itself is in charge of data forwarding to the sink The base station provides a query that is compliant with the application-speci c format and which incorporates a method to select leaders among the nodes.

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Introduce e-Learning System to Lower Sales Training Costs. Challenge: Action: Use existing resources in our sales training programs. We implemented a program we call knowledge on demand. This is a collection of electronic files that we have created from existing product information and hard-copy training programs that we placed on our intranet for instant, searchable access 24 hours a day. This has substantially decreased the lost time we were experiencing in the field when information was needed but not available. Further, it has helped us bring existing resources into the sales program. Our sales force is able to close sales faster. Controller, manufacturing, 2,000 employees, Texas.

The main advantage of this procedure is that the network itself operates in a way that is independent of the application, but the architecture also has some drawbacks: rst, the nodes need query processing functions which may in turn generate extra overheads and energy consumption, and second, the leaders need to be dynamically changed in order not to become bottlenecks or to deplete available energy too fast Routing protocols with random walks: routing based on random walks [36] tries to achieve load balancing through multipath routing in WSNs It assumes that the network is made of a large number of nodes with limited or no mobility which may go to sleep or wake up at random times A regular grid is assumed so that nodes fall exactly on a crossing point, even if the topology is irregular (ie nodes may not cover all of the grid crossing points).

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