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data mining相关的网络例句

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与 data mining 相关的网络例句 [注:此内容来源于网络,仅供参考]

During the study of the subject, I have an all-around understanding about the theory and application of Data Mining through reading bookmaking and papers in this field.Based on the research on algorithms, we realized one example following the workflow of Data Mining, which helps us understand the application of the technology.KEYWORDS: data mining , association rule , apriori algorithm

在课题的研究过程中,我通过阅读大量国内外著作、论文,对数据挖掘技术的理论和应用有了一个较为全面的了解,在理论上对关联规则的挖掘算法进行了深入的研究,对于数据挖掘的应用通过实现具体的实例进行研究,并且对挖掘结果进行评价,从而对数据挖掘的应用步骤有了更加深刻的理解。

By analyzing transplant and reuse of data mining platform,an opening development platform for data mining was designed and set up,which was based on CWM and used PMML to describe data mining Model.

在对现有数据挖掘平台移植和复用等方面的需求分析的基础上,提出并建立了以公共数据元模型为基础,用预言模型标记语言描述挖掘模型的数据挖掘开放式开发平台,详细论述了该平台逻辑框架、组成模块的功能接口以及平台的执行过程等。

The main contents are listed as follows: Analyse and research of the data mining technique. the dissertation summarizes,analyses and studies the current status of the data mining technique in our native country and overseas widely and roundly research . The definiens and orientation of the data mining is reviewed in brief first.

对数据挖掘技术的国内外研究现状进行了广泛而全面地归纳、分析和研究,对数据挖掘的定义及定位进行了简要的回顾,在数据挖掘基本概念的基础上,对数据挖掘常使用的技术和研究的对象进行了详细地分类、归纳和总结。

After a brief account of data mining techniques including the commonly-used techniques and the review of the development of this technology, the object of data mining and the findable patterns, in this thesis we generally describe association rule data mining technology.

本文先对数据挖掘技术做了简单的总结,对它的产生进行了简要的回顾,对数据挖掘的对象、可发现的模式和常使用的技术进行了较全面的分类、归纳和总结。

Based on the basic concepts of data mining , this dissertation compares and analyses the differences of data mining and other methods such as KDD and OLAP , classifies and summarizes the objects of data mining , the findable patterns and the common techniques in detail .

在介绍数据挖掘基本概念的基础上,对数据挖掘与传统分析方法,数据库中的知识发现和联机分析处理做了深入地分析和比较,对数据挖掘的对象,可发现的模式进行了详细地分类,归纳和总结,对数据挖掘常使用的技术做了介绍和分析。

Part Ⅰintroduces the development and research status of data mining, anglicizing the application prospect of data mining technique in mobile network analysis, explaining in detail the problems that should be solved in analysis of mobile network based on the data mining.

介绍了数据挖掘的发展与研究现状,分析数据挖掘技术在移动网络分析中的应用前景,具体介绍了基于数据挖掘的移动网络分析应解决的问题。2。

The dissertation focused on the technologies, algorithm and application of WBSDM, and the main studies and new contributions are described as follows: 1. Technologies of spatial data mining and web-based data mining are summarized and then the concept of WBSDM is put forward and its main functions and meaning of research are disserted in detail. 2. The framework of web-based spatial data mining is presented. And its background, definition, features, functions, system structure, implementation strategy, key technologies and so on are illustrated systematically.

本项研究旨在总结空间数据挖掘技术和基于Web的数据挖掘技术及WBSDM的应用前景;系统地提出基于Web的空间数据挖掘框架;设计基于XML/J2EE的WBSDM平台模型;将MAS(Multi-AgentSystem)技术引入WBSDM并提出应用策略;研究基于粗糙集的空间知识库刻画模型,提出并实现高维数据的特征提取和数据浓缩算法;提出并实现基于知识库的知识发现模型;构造一个WBSDM的原型实验系统,对本文的相关研究进行验证。

ABSTRACT In recent years data mining gets more and more attention and becomes one of the hottest spot in IT research field. Researchers from various fields show great enthusiasm for the subjects in data mining and are willing to devote themselves to the new field because data mining syncretizes artificial intelligence, statistics, database, and machine study. At the beginning of this new century, it is a large-scale amalgamation of subjects.

短短的几年时间,数据挖掘风靡全球,成为IT业近年来非常热门和前沿的研究方向之一,由于数据挖掘融合了人工智能、统计学、数据库、机器学习等各个领域的理论与技术,使得不同学科领域的学者对DM的研究表现出了前所未有的热情和参与精神,在世纪交替的特殊时期,这是又一轮规模空前的学科大融合。

This paper disserts the represent form of space data model, and discusses three dimensional space data model based on the grid, and points out the integrated necessariness and integrated represent method about the grid-vector spatial data model, and provids a Euclidean distance converting model and algorithm with regard to change from vector data to grid data, as well as establishes the foundation for spatial data handing and spatial data mining.

文章论述了空间数据模型的表示形式,重点讨论了基于栅格的三维空间数据模型,指出了栅格矢量空间数据模型集成化的必要性以及集成化表示方法,给出了将矢量数据转换为栅格数据的欧氏距离变换与算法,为基于栅格空间数据的空间数据处理和空间数据挖掘奠定了基础。

Thissubject exerts the experiment method of analogue modeling, and we take geologic mining condition of the Xin Zhi Colliery of Huo Zhou Mineral Bureau in Shang Xi province as the physical model of background design. The experiment is divided into two phases, the first phase simulates the course of mining subsidence, we study rule of movement transmogrification of mining terrane. In the second phase, after the mining subsidence is gradually stabilization, we bring into bear different load in the different location of subsiding basin, and we study ground stability with goaf.

本课题以山西霍州矿物局辛置煤矿地质采矿条件为例,进行了相似材料模拟试验,试验分为两个阶段:第一阶段模拟开采沉陷过程,研究采动岩层移动变形规律;第二阶段在开采沉陷基本稳定之后,在沉陷盆地的不同位置施加大小不同的建筑物荷载,研究其地基的稳定性。

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