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By John K. Debenham

This quantity provides lawsuits from the nineteenth IFIP global laptop Congress in Santiago, Chile. The lawsuits of the area laptop Congress are a made from the collection of 2,000 delegates from greater than 70 nations to debate a myriad of themes within the ICT area. Of specific be aware, this marks the 1st time international machine Congress has been held in a Latin American kingdom. issues during this sequence include:* The 4th overseas convention on Theoretical laptop technology * schooling for the twenty first Century- impression of ICT and electronic assets * cellular and instant conversation Networks * Ad-Hoc Networking * community keep watch over and Engineering for QoS, safeguard, and Mobility * The earlier and way forward for details platforms: 1976-2006 and past * background of Computing and schooling * Biologically encouraged Cooperative Computing * man made Intelligence in thought and perform * purposes in man made Intelligence * complicated software program Engineering: increasing the Frontiers of software program for a whole record of the greater than three hundred titles within the IFIP sequence, stopover at for additional information approximately IFIP, please stopover at

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Some of these are ENN (Wilson, 1972), All k-NN (Tomek, 1976) and GeneraHzed Editing Algorithm (Koplowitz and Brown, 1978). Another editing method is Multiedit Algorithm (Devijver and Kittler, 1980) [21]. Wilson in 1972 developed the Edited Nearest Neighbor (ENN). This technique consists in applying the k-NN (k > 1) classifier to estimate the class label of every prototype in the training set and discard those instances whose class label does not agree with the class associated to the majority of the k neighbors.

Edu,cu '^'Department of Computer Science, Universidad Central de Las Villas, Cuba. cu '^'Department of Computer Science, Universidad of Ciego de Avila, Cuba. Abstract. Rough Set Theory (RST) is a technique for data analysis. In this study, we use RST to improve the performance of k-NN method. The RST is used to edit and reduce the training set. We propose two methods to edit training sets, which are based on the lower and upper approximations. Experimental results show a satisfactory performance of k-NN method using these techniques.

In what concerns the communication between membrane in the system, if membranes are understood as social groups, conditions of marginality or integration may be modelled by means of the connection/non-connection between a concrete group and the others. If membranes refer to different agents in a dialogue, then it is easy to find agents which do not participate, wher eas some others keep the attention all the time. These concepts can be approached by means of the introduction of communication channels between membranes.

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