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。
There are certainly complex commercial software products built for data mining, but, for the average person looking to start in data mining, there's a useful solution available that's open source.
当然，市场上还有很多更为复杂的数据挖掘商业软件产品，但对于刚开始进行数据挖掘的人来说，这种开源的解决方案非常有益。
Already, affinity programs are exploring the complex factors that influence customer loyalty by mining such diverse sources as customer call-center data and Twitter feeds.
亲和力计划(affinity programs)通过挖掘客户呼叫中心数据和Twitter提要等不同资源，探索影响客户忠诚度的复杂因素。
As one of the important forms of complex data, time series is a hotspot in data mining area.
作为一类重要的复杂类型数据，时间序列已成为数据挖掘领域的热点研究对象之一。
A supervoxel data model is introduced to represent exactly the complex space distribution of geological data in the coal mining area.
首先建立了一种能够有效地表达矿区地质数据复杂空间分布的超体元数据模型；
Among these research fields, time series data mining is a rather complex branch, which is a technique that extracts the most valuable information from large amount of history time series data.
而在这其中时间序列数据挖掘是面向特殊应用数据挖掘领域中比较复杂的一个分支，主要研究从大量时间序列历史数据中挖掘有价值信息的方法和相关技术。
The information mining technology, which includes the structured data and complex structured data mining, is introduced in this paper.
阐述了以结构化数据和复杂类型数据挖掘为主要内容的信息挖掘技术。
The search space of Multi-relational data mining algorithm becomes larger and more complex.
多关系数据挖掘算法的搜索空间变得更大、更复杂。
Data mining is a complex and demanding task.
数据挖掘是一个复杂而又需求庞大的任务。
Among various data mining technologies, Evolution Computing has been widely applied in complex problem handling because it requires little field knowledge and no prior model.
进化计算模型不需要太多领域知识和建立先验模型，在处理复杂的数据挖掘问题中得到了广泛的青睐。
Mining land reclamation is a very complex systemic project. There are a lot of spatial data and spatial information during the whole procedure.
矿区土地复垦是一项极其综合的系统工程，其整个过程涉及到大量的空间数据与空间信息。
The classical data mining approaches can only look for patterns in single relation, and it is difficult to look for complex relational patterns which involved in multi-relational databases.
传统的数据挖掘方法只能从单一关系中进行模式发现，而很难在复杂的结构化数据中发现复杂的关系模式。
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。
However, there are a few on multivariate time series mining, since the data structure of multivariate time series is more complex than that of univariate time series.
然而多元时间序列的数据结构比一元时间序列更复杂，现有的理论和方法仍不够完善。
However, there are a few on multivariate time series mining, since the data structure of multivariate time series is more complex than that of univariate time series.
然而多元时间序列的数据结构比一元时间序列更复杂，现有的理论和方法仍不够完善。
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