多特征方用于计算复杂数据挖掘查询，具有多粒度上多个依赖聚集计算的典型特点。
Multi-feature cubes(MF-cubes) compute complex data mining queries involving multiple dependent aggregates at multiple granularities.
聚类分析作为数据挖掘技术的重要组成部分，是分析海量、复杂数据的有效工具，获取智能决策信息的主要手段。
As an important section of data mining, clustering is an effective tool for analyzing large amount and complicate data and a major means for get intelligent decision-making information.
复杂数据类型的挖掘是数据挖掘领域的重要研究方向。
Multimedia data mining is an important branch of data mining.
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