数据挖掘

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。

Work in this paper focuses on the data mining from chromatographic retention index data. A retention index database that contains about 50000 records of retention index is firstly established. Projection pursuit technique is then utilized to do data mining upon the data in order to find out some valuable information about the relationship between the retention indices and structural descriptors. A novel algorithm for projection pursuit is developed in this work. Samples of alkane, alkene and cycloalkane are investigated.

中文题名化学数据挖掘新算法和定量构性关系基础研究副题名外文题名 New methodology in chemical data mining and foundational research on QSPR 论文作者杜一平导师梁逸曾学科专业分析化学研究领域\研究方向化学计量学学位级别博士学位授予单位湖南大学学位授予日期2002 论文页码总数115页关键词定量构性关系化学计量学数据挖掘馆藏号BSLW /2003 /O6 /2 化学数据挖掘正逐渐引起化学家们的关注。

The main idea of this dissertation is as following sequence: disturbance signal denoising, transient harmonic measurement, disturbance online detection, and PQD data classification mining. Utilizing wavelet theory, Teager energy operator, and data mining technology, this dissertation presents a comprehensive and systematic study of PQD online detection and classification.

本文针对这两个核心问题，沿着"扰动信号去噪暂态谐波测量扰动在线检测扰动数据分类挖掘"这一技术主线，运用小波理论、Teager能量算子和数据挖掘技术，对电能质量扰动信号去噪、暂态谐波测量、扰动在线检测以及扰动数据分类挖掘进行了系统研究。

This paper combines Spearman Order Relational Coefficient and Rough Set with Data Mining, and provide a combined model of improving the efficiency of the Data Mining.

本文将Spearman 秩相关检验法、粗糙集与数据挖掘算法结合起来，提出了一种提高数据挖掘效率的组合数据挖掘模型。

In this thesis, we research the Apriori algorithm for discovering frequent itemsets and fast algorithm for rule generation.

论文在阐述了数据挖掘的基本概念、挖掘步骤和挖掘特点的基础上，对关联规则数据挖掘理论进行了深入的研究，利用Apriori算法和规则生成快速算法分别实现了频繁项目集的发现和关联规则的生成。

In the research of data mining algorithm, the more influential one is associational rule finding algorithm.

在数据挖掘算法的研究中，比较有影响的是关联规则发现算法，它是数据挖掘研究的一个重要分支，也是数据挖掘的众多知识类型中最为典型的一种。

Introduced Fan Boolean Algebra theory as a whole, after analyzing and studying of it, concluded that: the characteristic of Fan Boolean Algebra has determined that it can solve the extant problem of Data Mining to a certain extent, for example, it can guarantee the result after data mining to be usable , assured and construable;can solve the problems about expression difficulty of complicated concept, correlation of attributes emphasized incompletely and redundant examining;it can set up the unified model of Fan Boolean in a certain system;and it can promote the developmental research of new decision support system.

对泛布尔代数进行总体介绍，在分析和研究它的理论体系后，概括出：它的特性决定了它能在一定程度上解决数据挖掘的现存问题，比如可以保证数据挖掘结果的可用性、确定性及可解释性，可以解决复杂概念表达困难、属性间的相互关系强调不够、重复检验等问题；能就某一系统建立统一的泛布尔模型；并促进新型决策支持系统的开发研究，并对泛布尔代数与数据挖掘相结合的原理展开论述。

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。

A simple, but typical, process might include prepro- cessing data, applying a data-mining algorithm, and visualizing the mining results.

一个简单、但典型的数据挖掘过程可能包括数据预处理阶段，数据挖掘算法的应用阶段，以及对挖掘结果的可视化处理阶段。

Many works have been done about samplings application in data mining.

本文在总结现有相关工作的基础上，系统介绍了数据挖掘中抽样的应用及其相关问题，相信抽样在数据挖掘中的应用研究推动数据挖掘的发展。

Cynanchum Lingtai apricot production in the average weight 65 grams, the brightly-colored fruit, juicy rich, sweet-sour taste, sweet from the nucleolus, when the late Qing Dynasty famous Shaanxi, Gansu provinces, the Qing imperial court Tongzhi tribute for years.

灵台生产的牛心杏平均单果重65克，果实色泽鲜艳，汁多味浓，甜酸适口，离核仁甜，清末时就驰名陕、甘两省，清同治年间曾为朝廷贡品。

Chenopodium album,Solanum nigrum, and Amaranthus retroflexus were very susceptible to the herbicides. Polygonum persicaria and Abutilon theophrasti were relatively less susceptible to the herbicides, and Lycopersicon esculentum was not susceptible to it. The relationship between reduction rates of weed biomass and PPM values of weed leaves 2,4, and 6 days after treatment was established.

供试的6种杂草对该混剂的敏感性存在显著差异：红心藜Chenopodium album、龙葵Solanum nigrum和反枝苋Amaranthus retroflexus对该混剂最敏感，ED90值分别为47.65、71.67和29.17g/hm2；春蓼Polygonum persicaria和苘麻Abutilon theophrasti敏感，ED90值分别为96.91、114.20g/hm2；而番茄不敏感。