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- iritensive Web data 密集型Web数据
- RDF is data about web data - or metadata. RDF是关于网络数据或者元数据的。
- For details, see Web Data Access Strategy Recommendations. 有关详细信息,请参见Web数据访问策略建议。
- Web Data Mining is a new important research field in data mining. Web数据挖掘是数据挖掘中的一个新的重要研究领域。
- Web data mining is the combination of data mining technology and Web. Web数据挖掘是数据挖掘技术与Web的结合。
- Study on XML data model of structured and half-structured and Web data shows that this model is fit for transition of heterogeneous data. 研究了结构化、半结构化以及网页数据的XML数据模型;该模型适合异构数据之间转换.
- This characteristic of the web data lead the web site's administrator cost large numbers of funds and energies to maintenance the web site. Web数据的这一特点使得网站的管理者花费大量的财力和精力用于网站数据的维护。
- This method provides a powerful tool for the Web data mining, theusing of Web resource and the Web personalization services. 该方法为实现Web环境下的数据挖掘,Web资源的充分利用以及使Web更个性化的为用户服务提供了有力的工具。
- This paper deal with Data Mining and Web Data Mining, At the end. The trend and research concerning the Web Data Mining is concluded. 首先描述了数据开采,及Web数据挖掘,最后提出了Web数据挖掘的发展方向和趋势。
- Web data mining is the use of data mining techniques to automatically discover and extract information from World Wide Web documents and services. Web数据挖掘就是利用数据挖掘技术从网络文档和服务中发现和提取信息。
- POSITION DESCRIPTION: The Web Data Analyst is responsible for creating reports, analysis and actionable trend in...... ... 公司名称：上海集然信息系统有限公司工作地点：其他发布时间：2008-10-26
- Finally, taking document receiving and dispensing subsystem of OAS for instance, we build an OAS using the technology of web data warehouse. 最后以办公自动化系统中的收发文子系统为例，结合Web数据仓库技术构建办公自动化系统。
- This article introduces the concept of Web data mining,the flow of Web data mining,the classification of Web data mining and the application of three Web data mining. 介绍了Web数据挖掘的概念、Web数据挖掘的流程、Web数据挖掘的分类以及3类Web数据挖掘的应用问题。
- Experiments show that the questions in real-world web data sets can be accurately classified by the classifier, and the QA results after re-ranking can be obviously improved. 实验表明：分类器能够精确实现真实网络数据集的问题分类，重新排序后的自动问答结果也能得到明显改善。
- To improve question answering (QA) performance based on real-world web data sets, a new set of question classes and a general answer re-ranking model are defined. 摘要为了改善真实网络数据集上自动问答系统的性能，定义出新的问题类别集合和通用的答案重新排序模型。
- By importing web data warehouse to OAS, we can construct an effective office decision-making system, which is not limited by space.The research on this field is very valuable. 在办公自动化系统引入Web数据仓库技术，可以建立一个没有地理因素制约的、高效的办公决策系统，对这一技术的研究，具有十分重要的意义。
- It is proved that with both semantic and grammatical information, applications such as QA, built upon real-world web data sets, can be improved, thus showing better performance. 这说明借助语义和语法信息，真实网络数据集上的自动问答系统等应用可以得到改善，显示出更好的性能。
- The problems in WEB data mining in regard to the high dynamism and complicacy are analyzed in this paper. On the basis of the analysis,the function of XML in web data mining is mainly discussed. 针对当前互联网发展的高度动态性和复杂性;阐明并分析了W eb数据挖掘中存在的问题;并在此基础上主要探讨了XML在W eb数据挖掘中所起的作用.
- A buffer in a drum used to temporarily store data. 磁鼓中用来暂时存放数据的一种缓冲区。
- Because nowadays network environment is based on HTML which only describes forms rather than discovers content, so the problems of half or non-structure datum and isomerous database source bring difficulties for web data mining. 由于现行的网络环境以HTML语言为基础构建，它是一种只能描述形式而不能揭示内容的语言，因此，Web上的半结构化数据和异构数据源问题给Web数据挖掘带来了困难。
