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- Data Mining on Web Log Records 日志记录采掘
- Personalization Recommendation System Based on Web Log & Cache Data Mining 基于Web日志和缓存数据挖掘的个性化推荐系统
- Technology of XML and data mining on Web XML与面向Web的数据挖掘技术
- Desision support system with data warehouse and data mining on Web 基于Web的数据仓库和数据采掘支持的新型DSS系统
- Applying OLAP and Data Mining Technology on Web Logs OLAP和数据挖掘技术在Web日志上的应用
- Analyzing and exploring regularities in web log records can identify potential customers for electronic commerce, enhance the quality and delivery of Internet information services to the end web user, and improve web server system performance. 分析和探索日志中的规律能够确认电子商务中的潜在用户、提高信息服务的质量和提高Web服务系统的性能。
- An Instance of Data Mining in Web Log Based on Data Warehouse 一个基于数据仓库Web日志的数据挖掘实例
- The characteristics of a web log mining system is discussed, and a feasible design of an Intelligent Website based on Web log mining is presented. A prototype system implemented on top of the Apache server is discussed. 在分析了Web日志挖掘主要特点之后,提出了一个可行的面向Web日志挖掘的智能站点结构,并给出了一个架构于Apache服务器上的智能站点原型。
- With the development of network technology, how to use the data mining technologies to search on Web has come to be a hot research area in the information search field. 随着网络技术的不断发展,如何利用数据挖掘技术从大量的网络信息中挖掘出对人们有用的资源,已经成为研究的热点问题。
- This paper presents the load forecasting model of distributed data mining on the basis of load forecasting model by zoning. 本文在网格化负荷预测模型的基础上,提出基于分布式数据挖掘的预测模型。
- It also allow you to log event and generate report on web activity. 也允许您记载事件并产生Web活动的报告。
- Research of Data Preparation Based on Web Log Web日志挖掘数据预处理过程技术研究
- Many real domain applications of MAS, such as information retrieval and data mining on the WWW can be reduced to the problem of searching in an unknown environment. 现在 MAS中的许多具体应用问题也可以归结为对未知环境的搜索 .;比如 WWW上的信息检索、数据发掘等
- Personalize Web Site System Based on Web Log Mining 基于Web日志挖掘的个性化服务站点
- The paper does some tests about data mining on WEKA which is an open source data mining tool，and analyzes the test results and indicates the problems of the WEKA system. 摘要 在开源数据挖掘平台WEKA上进行了挖掘测试和分析，并分析了其存在的主要问题。
- Your name comes before mine on the list. 名单上你的名字在我之前。
- Restructure Web Site Structure on Web Log Mining Web日志挖掘中重构网站结构技术
- Similarity search is just the research base of data mining on time series, since association, classify and clustering all need solve the similitude degree problem of time series. 相似性搜索是时间序列数据挖掘的研究基础，因为无论是分类、聚类还是关联规则挖掘，都需要解决时间序列的相似度问题，相似性搜索是时间序列数据挖掘的研究基础。
- On my particular Web server, log records are appended to a file, one per line, with mostly space-separated fields. 在我的特定Web服务器上,日志记录被追加到一个文件,一行一条记录,记录中主要是由空格分隔的字段。
- Your name comes after mine on the list. 在名单上你的名字在我的名字之後。
