In terms of the new characteristics of current data, which is widely distributed, dynamic, rough and so on, a number of intelligent data mining technology come into being.
而针对目前数据的新特点，分布广，动态性，粗糙性等，一些智能化的数据挖掘技术便应运而生。
The paper presents a framework of intelligent data mining based on the layer model. It consists of multi-layers of concepts, problem identifying lay er, task layer, adaptive layer and user layer.
在层次模型的基础上，提出了一个智能数据挖掘的开发框架，包括问题识别层、任务层、应用层和用户层等多层概念。
This tutorial shows you how to apply data mining techniques using IBM DB2 Intelligent Miner to characterize the customers in terms of the products they purchase and the frequency of their shopping.
该教程向您展示了如何通过使用IBMDB 2IntelligentMiner根据客户所购买的产品和他们购物的频率描述其特点，来应用数据挖掘技术。
The sheer volume of unstructured and semi-structured data found on the web and in internal data stores increases the need for intelligent and effective data mining.
web上和内部数据存储中非结构化和半结构化数据量的爆炸式增长，促进了对对智能且高效的数据挖掘的需求。
Then raised the design of industry intelligent monitoring and managing system structure, also analyzed the position of data mining engine in the system and the roles in different phases.
然后提出了工业智能监测与管理系统结构设计，分析了数据挖掘在系统中的位置和不同阶段的各种作用。
The article discusses the Intelligent Decision Supporting system in Digital library which has multiple expert systems and is based on the Data mining and Agent technique.
本文在分析数字图书馆决策特点的基础上，提出了一个多专家系统集成式的基于数据挖掘和智能代理技术的智能决策支持系统框架。
This hybrid model synthesizes the merits of multiple intelligent computation methods and offers a new effective solution of time series data mining.
该混合模型融合多种智能计算方法优点于一体，为时序数据挖掘提供了一种新的实用方法。
Data mining is one of the most advanced research directions of intelligent information processing and decision support analysis nowadays.
数据挖掘是近年来国际上智能信息处理和决策支持分析领域的最前沿的研究方向之一。
This paper presents an intelligent intrusion detection technology based on data mining .
提出了一种基于数据挖掘的智能化入侵检测技术。
Using the present advanced technologies such as nature language, full-text searching and data mining, this paper designed a full-round intelligent question-answer system of network course.
利用当前比较先进的自然语言分析技术、全文检索技术、数据挖掘技术等，设计了比较全面的网络课程的智能答疑系统。
Customer Intelligent Anylysis Platform, called CIAS, is introduced which applying data mining technology to CRM area.
CIAS是将数据挖掘技术应用在CRM领域而开发的一个客户智能分析平台。
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。
The course is suitable for the master degree students working on intelligent information processing, pattern recognition, data mining and bioinformatics.
本科课程适合智能信息处理、模式识别、大规模数据挖掘、生物信息学等专业的硕士研究生。
In this paper, a intelligent analysis mode based on Data Mining in Armored Equipment Maintenance and Management is presented to get a useful knowledge for the decisionmaker.
本文提出了基于智能分析中的数据挖掘技术提出了装备维修管理智能分析模型，实现从海量数据中挖掘出有用的模式，为相关人员提供决策支持。
As an important section of data mining, clustering is an effective tool for analyzing large amount and complicate data and a major means for get intelligent decision-making information.
聚类分析作为数据挖掘技术的重要组成部分，是分析海量、复杂数据的有效工具，获取智能决策信息的主要手段。
Specialized data mining tools containing intelligent agents are used to perform these tasks.
专业的数据挖掘功能包括用来实施该任务的智能代理。
Present a system framework of intelligent DSS based on click-stream data mining technology.
提出基于点击流挖掘技术的商务智能辅助决策系统框架。
Compared to other intelligent data processing technology, data mining has obvious advantages.
相比其它的智能数据处理技术，数据挖掘优势明显。
Currently the Business Intelligent System includes four parts, which are Data Collection, Data Warehouse, Data Mining and OLAP.
目前的商务智能系统主要包括数据收集、数据仓库、数据挖掘和OLAP联机分析四个部分。
Currently the Business Intelligent System includes four parts, which are Data Collection, Data Warehouse, Data Mining and OLAP.
目前的商务智能系统主要包括数据收集、数据仓库、数据挖掘和OLAP联机分析四个部分。
应用推荐