| 1. | Kdd and data mining in decision - making process for oil production
知识发现和数据挖掘及其在油田生产辅助决策中的应用 |
| 2. | Investigation on knowledge data discovery and data mining based on the real time turbogenerator ' s monitoring data
基于汽轮机运行监测数据的知识发现和数据挖掘初探 |
| 3. | For resolving this problem , knowledge discovery in data ( kdd ) and data - mining technology are presented to find the information resources
知识发现和数据挖掘技术就是为迎合这种需要而出现的一种用于开发信息资源的新型数据分析技术。 |
| 4. | The technoledge of knowledge discovery and data mining are produced on the background of application requirement and developed with the decision system
知识发现和数据挖掘技术正是在这样的应用需求背景下产生并随着决策系统的推动而发展的。 |
| 5. | First we introduced the developing trends of home and abroad regarding knowledge discovery in database and data mining , basic concepts and typical processing
论文首先介绍了国内外关于知识发现和数据挖掘的发展动态、数据挖掘的基本概念和一般处理过程。 |
| 6. | First of all we introduced the up - to - date developing trends of domestic and abroad regarding knowledge and data mining , basic concepts and general processing of data mining
本文首先介绍了国内外关于知识发现和数据挖掘的最新发展动态、数据挖掘的基本概念和一般处理流程。 |
| 7. | Upon investigating into the research achievements and shortcomings of existing in knowledge discovery in database and data mining , this thesis has developed the research
本文在深入学习并熟悉数据挖掘的基本特点和相关技术的基础上，充分分析了国际上数据挖掘方面已取得的研究成果及其存在的不足，对知识发现和数据挖掘开展研究。 |
| 8. | There are eight chapters in this paper . chapter 1 : the concept of and development in knowledge discovery and data mining , the process of knowledge discovery , the classification of data . mining , the study background and significance of the task , the main contents of this paper are introduced in this chapter
论文共有八章：第1章：简略介绍了知识发现和数据挖掘的概念与发展现状、知识发现的过程与数据挖掘的分类、本课题的研究背景和意义以及论文的主要研究内容。 |
| 9. | It is being used extensively and its application future is bright . after studying and knowing of the basic character of data mining and some pertinent technology thoroughly , this paper analyzes some research results established and some flaws in data mining and carrys out some research about kdd and dm
本文在深入学习并熟悉数据挖掘的基本特点和相关技术的基础上，充分分析了国际上数据挖掘方面已取得的研究成果及其存在的不足，对知识发现和数据挖掘开展研究。 |
| 10. | So how to discover the knowledge and how to discover the knowledge effectively became an important research area in computer science . the researchers in this area began to study the knowledge discovery in database , that is kdd , in the late 1980 ’ s . the first international conference of knowledge discovery and data mining at which the field of data mining was first put forward was held in montreal in canada in 1995
在这样的背景下, 20世纪80年代末期,人们开始研究如何在数据库中发现知识( knowledgediscoveryindatabase , kdd ) ,并于1995年在加拿大的蒙特利尔召开的第一届“知识发现和数据挖掘”国际学术会议上首次提出了数据挖掘这一学科的名称。 |
