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• [P176] Wise Mining Method through Ant Colony Optimization
  Author(s): Jianxiong Yang
  
  

  Abstract
  This paper proposes an algorithm for data mining called Pheromone-Miner (ant-colony-based data miner). The algorithm is inspired by both researches on the behavior of real ant colonies and some data mining concepts as well as principles. The goal of Pheromone-Miner is to extract more exact knowledge from database. Pheromone-based mining overcomes limitations of other mining approaches. We compare the performance of pheromone-miner with a general semantic miner. The accident reasons discovered by ant-miner are considerably more accurate than those discovered by a general semantic miner. In a word, this evolutionary algorithm is suitable for improving the accuracy of data miners.

  
   

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