This paper mainly introduces the development and owl implementation of the user-centered data mining service ontology on Universal Knowledge Grid.
本文主要介绍通用知识网格下以用户为中心的数据挖掘本体的设计和OWL实现。
This paper introduces data mining concept, function and operation flow, and put forward using data mining technique to build individuation service model in physical education distance education.
本文介绍了数据挖掘技术的概念、功能及其运作流程，并提出了在体育远程教育中使用数据挖掘技术建立个性化服务的模型。
The system structure is a multilayer system structure with five layers. They are user interactive layer, system program interface layer, mining core service layer, data access layer, database layer.
系统使用五层体系结构，分别为：用户交互层，系统编程接口层，挖掘核心服务层，数据库访问层，数据库。
Vehicle insurance companies have abundant data of customer, so the effective mining and analysis on customer data will service insurance companies better.
车辆保险公司拥有大量的客户数据，而对客户数据的有效挖掘与分析能够更好的为保险公司服务。
With data mining technology, people can from the historical data to find the behaviour of visitors, and provide intelligent and personalized service to visitors.
随着数据挖掘技术的出现，使人们能够从历史数据中去发现访客的行为规律，为访客提供智能化和个性化的服务。
Personalized index, a service based on the knowledge discovery, involves in a range of fields such as data-mining, knowledge-index, computer linguistics, informatics etc.
个性化检索是基于知识发现的一种服务，作为一项综合技术，它涉及到数据挖掘、知识检索、计算机语言学、信息学等多个领域。
This paper introduces digital reference service and data mining, and expounds the design flowchart of digital reference service system based on data mining and the design of database structure.
介绍了数字参考咨询和数据挖掘，论述了基于挖掘技术的数字参考咨询系统设计框图及数据库结构设计。
It is indicated that the data mining technology is one of the effective tools helping tourism service sectors.
分析表明，数据挖掘方法可以作为辅助旅游服务部门改进服务质量和进行决策的有力工具。
The introduction of e-commerce on data-mining gives full support for business, provides special service for customers, and enhances the enterprises'business intelligence.
数据挖掘技术引入电子商务，给企业的商务活动提供全面支持，为客户提供个性化服务，增强企业的商务智能。
The introduction of e-commerce on data-mining gives full support for business, provides special service for customers, and enhances the enterprises'business intelligence.
数据挖掘技术引入电子商务，给企业的商务活动提供全面支持，为客户提供个性化服务，增强企业的商务智能。
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