数据挖掘工具 meaning in English
data mining tools
Examples
- Considering a series of problems , the author brings forward an advanced data mining idea looking on enterprise application by in first analyzing the business problem of the medicine vocation , and needing technique to solve these question , next analyzing the system structure of data mining , data mining instrument abroad and domestic , enterprise practice application as well
针对这一系列问题，作者在首先分析了医药行业需要解决的商业问题，以及解决这些问题所使用的技术，和分析现有数据挖掘系统结构和国内外的数据挖掘工具以及国内企业的实际应用的基础上，提出了一种应用先进的数据挖掘思想面向企业应用主题的数据挖掘应用系统设计思想。 - This article forcus on applying of data mining and establinshing csi weight model in crm system of retail business . estabilish crm system based upon data mining and design several data mining models . the concept of this report will bring new idear to business enterprices , help them to improve customer satisfaction and win competition
本文重点研究数据挖掘技术在零售业客户关系管理系统中的应用，对基于数据挖掘的零售业客户关系管理系统进行了设计，建立了零售业客户价值、客户满意度和客户细分的数据挖掘模型，并运用数据挖掘工具sasenterpriseminer对模型进行了验证和评价。 - Data warehouse is a hot research area in 90s its main motif is to provide the decision - maker a powerful tool : gathering the data in pure consistent , relevant pattern , and making use of the data in managing analyzing , data - mining purposec that means that the decision - maker can use the tool to understand , grasp the situation of the business from different directions and forecast the future of it when using data warehouse , the processing speed determines data warehouse ' s practicability and processing ability the hoc ( highway decision center ) system realized before solves some key problems about intermediate scale data , mainly concentrating data warehouse performance coefficient when using hdc in large scale data , it encountered processing speed problem then the settlement of this problem becomes a major research point so , based on the former research achievements , the present task is to construct the renowned data warehouse architecture and its relevant algorithms , then adapts the system to the large scale dataset with data mining functions c this paper is a part of the research in order to construct the powerful system , a key problem is to cope with the processing - speed problem and the data space problem , etc , - caused by the large scale dataset and magnificent dataset this is also the core in the present data mining research this paper ' s motive is to design and realize a decision - tree classifier in the data warehouse system for large - scale dataset
大型数据仓库的处理速度问题目前是制约其推广应用的关键所在，也是这一领域的一个重要研究课题，也正是我们当前工作的重点：在前期研究工作的基础上围绕提高大型数据仓库处理速度问题，建立改进的数据仓库系统模型和相关算法，开发出面向中级以上企事业单位的、具有数据挖掘和分析能力的大型数据仓库系统。建立大型数据仓库所面临的关键问题，是如何妥善解决实际业务数据的大规模、海量特征所带来的处理速度和空间等问题，这也是当前挖掘技术研究必然面对的核心问题。本研究的目的是设计并实现大型数据仓库系统中的分类数据挖掘工具? ?决策树分类器，主要工作是在综合了解现有决策树分类算法的研究情况的前提下，对决策树算法适应大规模数据集的问题进行探讨，力求设计出能较好地适应大规模数据的分类器算法。 - With the rapid increasement of data , the enterprises want to mine the knowledge behind the large amounts of data in order to support decision . some existing data mining tools such as intelligence miner , enterprise miner supply rich data mining functions , but these tools can ’ t mine distributed and heterogeneous data on internet / extranet , and they can ’ t integrate with operating system effectively and have no pertinences
现有的数据挖掘工具如ibm的intelligenceminer , sas的enterpriseminer虽然提供了较丰富的挖掘功能,但是这些工具不能够挖掘internet / extranet上的分布式和高度异质的数据,不能有效地与操作型系统集成,而且针对性不强。 - The current data mining research has transported its emphasis from the discovery method to system application gradually . it emphasis on discovering strategies based on multi - methods and the technology integration , as well as mutual seepage between different disciplines , the general data mining tool has no longer adapted the developing data mining application demand
当前数据挖掘研究重点逐渐从发现方法转向系统应用,注重多种发现策略和技术的集成,以及多种学科之间的相互渗透,一般的数据挖掘工具已经不再适应数据挖掘应用发展的需求。