查询词典 data mining

Data mining, known as Knowledge Discovery in Databases, is defined as the nontrivial extraction of implicit, previously unknown, and potentially useful information from a great volume of data accumulations. It uses machine learning, statistical and visualization techniques to discover and present knowledge in a form being easily comprehensible to humans. Data mining is an advanced data processing technique.

数据挖掘是在数据和数据库急剧膨胀的背景下，为解决"人们被数据淹没，但却饥饿于知识"这种困境而产生的，也是数据库技术、人工智能技术、统计技术、可视化技术等发展的结果，其目的就是从大量的、不完全的、有噪音的、模糊的数据中提取出隐含在其中的潜在有用的可信、新颖并能被人理解的信息和知识，它是一种高级的数据处理过程。

Image mining is the important branch of data mining.It is more than just an extension of data mining to image domain but an interdisciplinary endeavor.Image clustering and similarity retrieval are two basilic parts of image mining.

图像挖掘是数据挖掘的重要分支，它不仅仅是数据挖掘简单的扩展到图像领域，而是一个多学科交叉的研究方向周像的聚类和相似性搜索是图像挖掘的两个非常重要的领域。

By studying the algorithms of data-mining technology and taking full consideration of the fuzzy feature in the process of data-mining, it makes the classic mining technology fuzzy in order to show the inexactness and the ambiguity of things in the real world.

本文通过对数据挖掘技术方法的研究，并充分考虑挖掘过程中模糊性，对经典的挖掘技术加以模糊处理，体现了现实世界中事物特性的不确定性和模糊性。

Visualization technology can realize interactive analysis of direct data input, results output and mining, and provide ways of data mining with the participation of people's perception, insight and perspicacity, as well as ways of visualized mining and the visualization of mining results.

可视化技术能为数据挖掘提供直观的数据输入、结果输出和挖掘过程的交互探索分析手段，可以在人的感知力、洞察力、判断力参与下提供数据挖掘手段，实现可视化辅助挖掘手段以及挖掘结果的可视化。

Traditional data mining techologies used in data mining need to build intrusion detection model in labled data set. The process to lable data set is all by hands, and if the lables have some errors, the efficiency of the intrusion detection system will be affected. Unsupervised anomaly detection methods can detect the anomaly records in unlabled dataset.

传统的面向入侵检测的数据挖掘技术需要在大量的已标记数据集上建立入侵检测模型，数据集的标记过程需要以手工的方式进行，并且如果标记错误，将导致入侵检测系统检测效率的降低。

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。

With Death guitarist Schuldiner adopting vocal duties, the band made a major impact on the scene.

随着死亡的吉他手Schuldiner接受主唱的职务，乐队在现实中树立了重要的影响。

But he could still end up breakfasting on Swiss-government issue muesli because all six are accused of nicking around 45 million pounds they should have paid to FIFA.

不过他最后仍有可能沦为瑞士政府&议事餐桌&上的一道早餐，因为这所有六个人都被指控把本应支付给国际足联的大约4500万英镑骗了个精光。