数据挖掘

At present, the researches of data mining majority focus in the arithmetic of data mining and pay little attention to the quality questions of source data.

目前，数据挖掘的研究工作大多数着眼于数据挖掘算法上而很少关注源数据的质量问题。

In the method of data analysis, the paper researches application of data mining and knowledge database, then design frame of data mining automatism class engine and knowledge decision.

在地面子系统的数据分析方法中，本文着重分析了数据挖掘技术和知识库系统在地面子系统的应用，并设计了数据挖掘自动分类引擎和知识决策的总体框图。

According to different purposes, we choose the Association analysis for the relation of alarms, Apriori algorithm, Eclat algorithm and MTAEM algorithm are compared in this paper, Apriori algorithm and MTAEM algorithm are choosed after the comparasion.

文中讨论和分析了IP网管告警数据的特点，根据告警相关的任务，分析了几种数据挖掘技术在IP网管告警数据挖掘中的适用性。

Data classification is an important task of data mining, and developing high-powered classification algorithm is one of the key problems for data mining.

数据分类是数据挖掘中的一个重要课题，研究各种高效的分类算法是数据挖掘的重要问题之一。

In this paper a discretization algorithm based on importance of cut point. Firstly, the paper gives some concept of rough set theory:decision table,indiscernible relation,information entropy and condition entropy.

粗糙集理论可以用在数据挖掘的各个阶段，该文研究了粗糙集理论在数据挖掘的数据离散化阶段的应用，并提出了一个新的决策表离散化算法。l 基本概念及离散化问题的描述定义1 。

Then, after reviewing former research, we combine the solution of industry and academy, a new architecture called BWADM based on the researches above is proposed, it is a distributed data mining system based on Web services and Agent in Electronic commerce environment. Web service composition rules and execution of Web service composition are discussed. These modules are introduced detailedly in Electronic commerce environment; there are algorithm management module, control center module, algorithm database module and model representation module. Lastly, a prototype system of distributed data mining is given in Electronic commerce.

在此基础上，结合业界和学术界对Web服务和移动Agent的研究成果，将Web服务和Agent最新技术引入了电子商务环境中分布式数据挖掘，提出了电子商务环境下基于Web服务和移动Agent技术的数据挖掘架构BWADM，并论述了组合服务规范与组合服务的执行，具体阐述了此架构的数据预处理组件、算法管理组件、控制中心组件、算法库组件和模型表示组件。

This is a weka data mining based on the experimental data sets format. Arff. which contains terms and numerical ...

这是一个基于weka数据挖掘的实验测试数据集，格式为。arff，里面包含有名词性和数值型的数据集，用于weka挖掘测试。

Fledermaus Professional is used in a variety of applications such as swath bathymetry editing and quality control, marine construction, military applications, and coastal zone mapping.

全新的数据挖掘技术包括ShiftScape漫游引擎和Bat（3维输入设备），用以完成直观的3维地理信息数据的挖掘与分析。该系统广泛支持大量工业数据格式的直接输入。

However, in application OLAP and DM specify on their own fields, both of them have their limitation. So if we can integrate them together to develop a new DM technology based on OLAP data cube and DW, it will meet the practical demand more compatibly. OLAM technology is just the outcome of this integration.

但是由于在实际的应用中OLAP与数据挖掘各有侧重，而且具有各自的使用局限，所以如果能将二者有机的结合起来，发展一种建立在OLAP立方体和数据仓库基础上的新的数据挖掘技术，将更能够适合实际的需要。

ABSTRACT Data mining is an important area in KDD, and mining association rules in large databases is a critical aspect of data mining resea...

数据挖掘是当前KDD中的一个重要领域，而关联规则的挖掘是数据挖掘的一个重要组成部分。

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。