Multi-feature cubes(MF-cubes) compute complex data mining queries involving multiple dependent aggregates at multiple granularities.
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。
Taking advantages of grid computing, the new model enhances the power of the traditional complex data mining techniques and improves their performance.
它利用网格计算技术的优势,提高了以往复杂的数据挖掘技术的能力和效率。
Large, complex data sets escalate traditional data mining techniques to new levels of processing demand.
大型、复杂的数据集将传统的数据挖掘技术推向新层次的处理要求。
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