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Data mining algorithms such as clustering and decision tree are used to find relationship between amount of investment and period of the project, and amount of investment and bill of quantity. By the help of data mining, we find the key of a project and then optimize the crucial path of the progress.

以这些数据作为挖掘的基础,在数据仓库环境里,针对石化安装工程的特点运用聚类和决策树等算法,研究了投资额和工期之间,投资额和工程量之间的关系,通过数据挖掘找出影响工程进度的关键因素,优化的关键路径,从而提高施工效率。

The first is Qin culture's value in the market economy, from the perspective of modem mining, the essence of the inherent humanity, addressing its deep flaws and reshape its modem value, The second is Qin cultural circle and coordinated regional economic development, Qin cultural circles and the big-Guanzhong mark sphere has the inherent linds, Qin culture research should be based on reality, from the perpective of cultural capital build a solid foundation for culture; The third is Qin culture's industrialization, which has an advantage in location and resource advantages; The fourth is inter-regional cultural cooperation's issues, Qin cultural studies should be carried out in the wide-area, multi-perspective of a comprehensive study; The fifth is to introduce the new paradigm issues. such as cultural capital, social capital and human resources.

一是秦文化在市场经济中的价值挖掘与重塑问题,应从现代性角度挖掘秦文化的内在人文精髓,正视其深层中的秦文化圈与区域经济视域下的大关中经济圈具有内在契合性;秦文化的相关研究应该立足于大关中经济圈的现实,从文化资本角度为大关中经济的腾飞打造坚实的文化根基;三是秦文化自身的产业化问题,秦文化圈具有文化产业的区位优势和资源优势,应从经济与文化交叉的角度深入作域文化产业发展模式问题;四是区域间跨文化经济交流合作问题,秦文化研究应在跨省际、跨区域的横向文化交流合作中对其内在关系进行宽领域、多视角的全面研究;五是在研究中引人新范式问题,应有效借鉴文化资本、社会资本、人力资源、企业文化与企业家精神等一些新的分析范式,推动相关研究的深人拓展。

Different to exiting methods, it first segments time series based on a series of perceptually important points, and then time series are converted into meaningful symbols sequences in terms of domain knowledge and the relative scope of each linear segment.

挖掘算法实现上,根据序列特征模式的有序性和重复性,提出了一种无须生成大量的候选模式集的互关联后继树挖掘算法。

With this measure, a new method for calculating the minimum embedding segment dimension of a linear segment sequence is proposed. With this method, the MESD of the linear segment representation of a real financial time series is calculated.

该方法实现了对时间序列的基于基本变化形态的合理分割,保证转换后的每一个符号都能代表一个基本的、相对独立的变化模式,为最终挖掘结果的有效性和可视化提供保证;同时,针对数据挖掘数据量大,对算法的计算效率和在线性能要求高的特点,提出了一个实现时间序列分段线性化的增量式更新算法;并利用神经网络模糊聚类算法实现了完全数据驱动的在线聚类分析。

The experimental results show that the system performs well in accuracy,verifying the great potential of data minging in assistant medical treatment.

医学图像的数据挖掘旨在从海量的图像数据中挖掘出有效的模型、关联、规则、变化、不规则以及普遍的规律,以加速

Compared with other data mining platforms,such as MS SQL2005,Oracle 10g, WEKA obviously has advantages in supporting machine learning algorithms. WEKA has provided almost all kinds of machine learning algorithms and implemented in JAVA. But WEKA has a lot of disadvantages for data minging.

与其他主流挖掘平台相比,WEKA机器学习平台在支持机器学习模式识别算法方面具有明显优势,WEKA提供了目前所有主要机器学习算法的JAVA实现,但其直接用于数据挖掘还有很多不足。

Recently, Web Mining technology becomes a important research field such as Web information retrieval, Search Engineer, web mining can extract special semantic information from web documents, analyses link structure, analyses many valuable information such as document access pattern concealing behind Web such as document access pattern etc.

近来, Web 挖掘技术成为 Web 信息检索、搜索引擎等重要的研究领域,通过 Web 挖掘,可以从 Web 文档中抽取出具有特定语义的信息、分析文档的链接结构、分析出文档访问模式等许多隐藏在 Web 之后的有价值的信息。

Basing on the describe of predominance of data mining and the cognition of credit appraising in the department of banking credit, the article analyses data minings application predominance on credit risk management of banking.

文章基于对数据挖掘方法优势的描述和银行业信贷部门信用评价情况的认识,结合西方商业银行信用风险评价方法的模式,运用模型分析了数据挖掘方法在商业银行信用风险管理领域的应用优势。

In Chapter 6, we prove that the problem of mining association rules is NP-hard, and propose a mining algorithm based on reduced trie tree. The tree is expected to contain only the nodes corresponding to frequent item sets.

在本文第六章中,我们证明了挖掘关联规则的NP困难性,并提出了一个基于精简trie树结构的算法,主要思想是只生成对挖掘有用的项目集所对应的树。

A new algorithm called Maximum Frequent Page Set Mining is presented, which traversals quickly FPDT-Tree and discovers maximum frequent page set from the sessions.

利用FPDT-Tree结构存储双向驻留时间约束的会话数据库,简化挖掘过程中驻留时间阈值的设置。基于FPDT-Tree提出算法MFPSM挖掘会话中的极大频繁页面集。

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