Li Zhang's research while affiliated with University of International Business and Economics and other places

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Publications (1)

A Method for Improving the Stability of Feature Selection Algorithm
  • Conference Paper

September 2007

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13 Reads

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6 Citations

Li Zhang

This paper researches on problems of improving the stability of feature selection algorithm. A bagging-based selective results ensemble method is proposed. First use a feature selection algorithm and different training subsets to select several feature subsets. Then compute weights of each selected feature subset by mutual information and classifying accuracy. At last use a bagging-based method to assemble the selective subsets. Experiments in intrusion detection data of KDD cup'99 show that this algorithm could obtain better results.

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Citations (1)

... Figure 3 shows block diagram of detection module to increase speed of detection. In the anomaly detection module, multi-index hashing (MIH) [38] is used to speed up the detection process even more. Non-overlapping substrings is a speedier, more efficient alternative to exhaustive linear search as a strategy for searching binary encoding space using k-nearest neighbours. ...

Reference:

Neural Networks and Blackhole Optimization in a Cooperative IDS for IoT
A Method for Improving the Stability of Feature Selection Algorithm
  • Citing Conference Paper

  • September 2007

Li Zhang