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Wireless mesh networks have been attracting significant attention due to its promising technology. It is becoming a major avenue for the fourth generation of wireless mobility. Communication in large-scale wireless networks can create bottlenecks for scalable implementations of computationally intensive applications. A class of crucially important communication patterns that have already received...
This paper proposes a novel technique that combines orthogonal least-squares (OLS) and culture algorithm (CA) to construct the radial basis function (RBF) network for the wind power forecast. By reason of the fluctuation and volatility in wind, wind power generations provide a challenge to the security and stability of the electric system, thus the growing revolution in wind energy encourages more...
Finding communities in complex networks is not a trivial task. It not only can help to understand topological structure of large scale networks, but also is useful for data mining. In this paper, we propose a community detection technique based on the collective behavior of swarm aggregation, where all nodes are arranged on a circumference and each of them is assigned a angle at a random. The angles...
Customer relationship management is one of the leading business strategies for today's companies, the key to successful implementation of CRM is customer intelligence. This paper designs and implements a customer intelligence system based on improving LTV model and data mining. Two data mining techniques are used including self-organizing map and fuzzy decision tree. The proposed system provides such...
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