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This paper presents a real-world application of data mining techniques to optimise debt recovery in social security. The traditional method of contacting a customer for the purpose of putting in place a debt recovery schedule has been an out-bound phone call, and by and large, customers are chosen at random. This obsolete and inefficient method of selecting customers for debt recovery purposes has...
In this paper, we applied an existing particle swarm optimization algorithm to biological pairwise sequence alignment problem. In addition, we improved the basic algorithm according to sequence characteristics. This improved algorithm provides constraint conditions of the initial position of particles and the mobile strategy in motion, taking account of the other particle swarm' s next generation...
According to the frequency characteristics of transmission line boundary, this paper proposes a new algorithm of boundary protection for extra-high-voltage (EHV) transmission lines based on improved recursive wavelet transform (IRWT). IRWT is used to directly extract desirable frequency components of fault-induced transient current signals. By comparing the average frequency of the extracted signals,...
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