Mining Consumers´ Most Adaptive Products by Efficient Clustering Algorithm

Use clustering methods to discover the individual consumer´s most adaptive products, which can support to make better decisions of marketing service. First, oriented from the consumer´s transactional data that we will mine and targeted by finding some consumer´s most adaptive products, we present a simple and efficient cluster algorithm to put the most similar data into the same group. Then we can find the mined consumer´s most adaptive products from the cluster. Moreover, we propose a Boolean algorithm to improve the performance of the previous.