Multi-dimensional sequential pattern mining

摘要: Sequential pattern mining, which finds the set of frequent subsequences in sequence databases, is an important data-mining task and has broad applications. Usually, patterns are associated with different circumstances, such circumstances form a multiple dimensional space. For example, customer purchase sequences region, time, group, others. It interesting useful to mine sequential multi-dimensional information.In this paper, we propose theme integrates multidimensional analysis data mining. We also thoroughly explore efficient methods for examine feasible combinations mining methods, as well develop uniform high-performance Extensive experiments show advantages limitations these methods. Some recommendations on selecting proper method respect properties drawn.