1) Data Mining Technology Briefly Analysize
数据挖掘技术浅析
3) data mining technology
数据挖掘技术
1.
Crystallization of the products calculated with XRD data of the products was used as testing indexes,and application of uniform experimental design as well as data mining technology were applied in the test.
用产物XRD图谱数据计算得到的结晶度作为试验的考察指标,试验中应用了均匀设计试验法及数据挖掘技术,在数据挖掘成果的指导下进行了试验。
2.
Crystallization calculated with XRD data of the product was used as the testing index,and application of uniform experimental design as well as data mining technology were used in the test.
文献[13]报道结晶度对功能材料的性能有着重要的影响,故本文在实验中尝试应用数据挖掘技术[14]研究合成条件对产物结晶度的影响,得到结晶度较好的产物。
3.
Uniform experimental design and data mining technology were applied,and the synthesis tests were made with reference to the results of data mining technology.
基于均匀设计实验方案以及数据挖掘技术的应用,在数据挖掘成果的指导下进行了实验。
4) data mining technique
数据挖掘技术
1.
The complicated failure of drilling machinery was investigated with the data mining technique.
利用数据挖掘技术,研究了复杂的钻井机械故障诊断问题,提出了钻井机械故障诊断数据挖掘系统的结构框架,并对基于神经网络的钻井机械故障诊断进行了分析,给出了钻井机械故障诊断系统连接模型。
2.
Method The data mining techniques of TCM symptomatology were summarized from different TCM magazines in recent years,and their advantages and disadvantages were analyzed.
方法对近年来的中国中医期刊有关中医证候的数据挖掘技术进行汇总,分析其优势与不足。
3.
By using the data mining techniques and the method of data generalization, the dimensionality reduction preprocessing to the sets of resources data is described.
从数据挖掘技术的角度研究了三江并流带地区丰富的旅游地质资源数据 ,采用“数据概化”的方法对资源数据集进行“维归约”预处理 。
5) data mining
数据挖掘技术
1.
Assessment of loess collapsibility based on data mining;
基于数据挖掘技术的黄土湿陷性评价
2.
Application of data mining in undergraduates major guidance;
数据挖掘技术在大学生专业方向指导中的应用
3.
Besides,the similarity search technique in data mining is adopted to find the most similar time series as training date.
影响电价因素众多,但在现实中不可能获得所有信息的资料,在这种信息不完全的情况下,为了更好地提高电价预测精度,通过分析电价和负荷时间序列的混沌性,用C-C方法分别重构其相空间,揭示出其本身蕴涵的规律,并采用数据挖掘技术中的相似搜索技术,挖掘出与预测日变化规律最相似的时间序列作为样本,利用BP神经网络这一具有高度自学习自适应能力的网络,拟合电价序列的重构函数。
6) Web data mining technology
Web数据挖掘技术
1.
Using the Web data mining technology makes full use of the advantages of cyber education,like resource sharing and no time limit.
使用Web数据挖掘技术发挥网络教育中资源共享以及无时间局限性的优势,达到帮助学习者快速有效地寻找满足其个性需求的教学资源的目的,并且对其学习进程进行准确指导。
2.
Using Web data mining technology to predict and recommend the users′ future requests is one orientation of flexible personalized internet service.
利用Web数据挖掘技术,对用户未来的访问进行预测和推荐,是实现网站柔性个性化服务的研究方向之一。
补充资料：数据挖掘研究院
数据挖掘研究院（china data mining research,cdmr）是一个专注于数据挖掘及其相关技术的讨论组织，参与者都是数据挖掘及其相关学科的爱好者。作为论坛的组织者我们也是数据挖掘的忠实爱好者，希望能够利用一些有限的资源为中国数据挖掘营造一个良好的发展环境。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条