摘要：AbstractNowadays not only aggregated demographic data but also primary ones become available to a wide range of researches all over the world. It contains a lot of hidden patterns and dependencies which can help answer the question: how to guide human decision-making process in a certain way (for example, whether to have a baby, to move to another place so on). In previous works authors developed a novel Influence search algorithm based on clustering. This algorithm resembles recommendation systems, because as a result it gives a set of rules (recommendations), which can guide a certain social group to a desired state. For instance, if we want to increase birth-rate among young families, we should provide payments for children. As for elder families providing cheap housing loans will be more effective.In current paper we propose using association rules instead of clustering, as this technique is considered to be among most powerful and popular Data Mining methods. Comparative analysis of the results of both techniques is also given.
关键词：Data-Mining;Association rules induction;Census (demographic) data analysis
