An improved data mining technique combined apriori algorithm with ant colony algorithm and its application

作者：Guodong Li^*; Kewen Xia

来源：International Journal of Digital Content Technology and Its Applications, 2011, 5(8): 241-249.

DOI：10.4156/jdcta.vol5.issue8.27

• Ant colony algorithms
• Apriori algorithms
• Confidence levels
• Data mining process
• Data mining techniques
• On-line algorithms
• Optimal solutions
• Reactive power allocation
• Reactive power optimization
• State transition probabilities
• Switching strategies

In this paper, Apriori algorithm has been improved and applied to substation data mining process. Ant colony algorithm is applied to get the optimal solution of reactive power allocation in substations. The state transition probability formula is amended and parameters are dynamically adjusted in this ant colony algorithm. The choice of the ant's path to the next node is determined by the tabu table formulated according to the confidence level of the data mining. The switching strategy of the capacitor sets are given by online algorithm.

• 出版日期2011
• 单位河北工业大学