ADAPTIVE ANTS CLUSTERING ALGORITHM MIMING CORRELATIVE PAGE SET

Performance of ants clustering is very sensitive to the key parameters in ants algorithm, this paper analyses how to adjust key parameters adaptively to improve ants clustering. It also brings forward a improved method making use of pheromone and ant’s local memory to direct ant to move effectively, whereas ants are moving randomly after picking up or dropping an object in recent ants clustering algorithm. As the parallel nature of ants cluster, we apply AACA in web mining to mine correlative page set and make it suitable to dispose dynamic and large quantity of web log.