Mining High Utility Mobile Sequential Patterns in Mobile Commerce Environments

摘要: Mining user behaviors in mobile environments is an emerging and important topic data mining fields. Previous researches have combined moving paths purchase transactions to find sequential patterns. However, these patterns cannot reflect actual profits of items transaction databases. In this work, we explore a new problem high utility by integrating with mining. To the best our knowledge, first work that combines mobility patterns, which are their utilities. Two tree-based methods proposed for A series analyses on performance two algorithms conducted through experimental evaluations. The results show deliver better than state-of-the-art one under various conditions.