Papers by Author: De Gan Zhang

Abstract: A new method of machine learning based on examples is given in this paper. This method improves the classical method ID3 which learns from static examples. Its limits lie on no comprehension and no memory, and no dynamic correlation. In the new method, it can learn from dynamic examples, the change of data can be learned because the training data is the initial and end process in the interval. All varieties and correlation can be understood and remembered. By experiments, the method can be used as classifier and it has special use in the field of information mining.

Abstract: In order to improve the efficiency of service discovery for mobile application, we present a new method of service discovery. Reference the ring topology of chord algorithm and the algorithm used by DHT, the traditional single finger table maintained by each node in the ring will be changed into double finger table: the Neighbor Finger Table (NFT) and Long-distance Finger Table (LFT). The LFT can construct small-world network. The new method is different from that, which is by the calculation of the local node, ensure the scope of service can cover the entire network. The simulation shows that the algorithm can effectively reduce the path length of service discovery, improve the service success rate, and control the path length.