DMM：数据挖掘与建模
“数据挖掘与建模”通常简称为DMM，这一缩写便于快速书写和日常使用。它在多个跨学科领域中频繁出现，尤其在综合性和未明确分类的研究及应用场景中广泛应用。该术语涵盖了从海量数据中提取知识并构建分析模型的关键技术方法。
Data Mining and Modeling具体释义
Data Mining and Modeling的英文发音
例句
- Based on the analysis to the ideas about time series data mining and classic modeling methods, this paper compared and summarized their advantages and disadvantages, and the essential differences between them are clarified.
- 基于对时间序列的数据挖掘思想与经典建模法的基本思路分析和比较，总结各自的优缺点，并阐述二者是在本质上不同的两类重要的时间序列分析法。
- Based on this, we have provided a method of data analysis, data mining, and data modeling in the sales mode of ERP system, have solved some critical problems from established-process.
- 在此基础上，提出了ERP中销售模块数据的分析、挖掘及建模的方法，解决了在数据仓库建立过程中几个关键问题。
- An Intelligent optimal design method for towed howitzer global structure is presented, which combines with GA, data mining, and parameterized modeling, that can be used to multi-object, multi-parameter optimal design method for global structure.
- 将遗传算法，数据挖掘和参数化建模相结合，提出了一种针对全炮总体结构优化设计的多目标，多结构参数优化设计方法；
- This method is based on data mining and primarily satisfies the modeling demand of dynamic process.
- 该方法结合数据挖掘思想进行过程自动化建模，可用于初步解决企业对动态业务过程模型的建模需要。
- Data mining technique and its applications in modeling, optimization and fault diagnosis
- 数据挖掘技术在建模、优化和故障诊断中的应用
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