同时还研究了典型的用户查询和分析模式对多orolap模型及其算法、分布式数据仓库中组成员的管理和维护的影响。
Typical user query and analysis patterns and their performance impact on the Multi-OROLAP model and algorithms, group membership management and maintenance of multi-data warehouses are also discussed.
随着高校办学模式的扩大，图书馆的多校区分布组织形式也逐渐成熟。
With the development of universities, the distribution of libraries located in several campuses has gradually matured.
由于模式识别、机器学习等问题的复杂性比较高，数据分布通常呈现多模态分布。
Since the data samples in machine learning and pattern recognition problems generally distribute in multi-modal distribution, this thesis proposed a prototype based feature ranking model.
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