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.
数据挖掘是从海量的复杂数据集中提取出有价值、有意义的知识。
Data mining has become focus for researchers, which is used to extract useful and meaningful knowledge from the vast amounts of complex data.
数据挖掘是从海量的复杂数据集中提取出有价值、有意义的知识。
Data mining has become focus for researchers, which is used to extract useful and meaningful knowledge from the vast amounts of complex data.
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