This paper summarizes the background and advantage of data mining, as well as the significance of data mining in the scientific research management of colleges and universities firstly, and then discusses the theory of data mining, association rules and the ideas of main algorithm, analyzes the classic Apriori algorithm and its existing problems as well as the basic solutions. After that, this paper proposes Multi-Dimensional Apriori algorithm which is designed specially for the mining of this paper; Then describes the structure of scientific research data mining system, defines subject-oriented mining tasks, including: mining the data about research projects, mining the data about papers, mining the data about academic writings. The association mining process is implemented by programing, a number of stimulating association rules are found, interpreted and analyzed.

本文首先綜述了數(shù)據(jù)挖掘的研究背景欧美一区二区黄色网站、意義以及數(shù)據(jù)挖掘技術(shù)在高校科研管理中的應(yīng)用現(xiàn)狀和意義韩国A级毛片免费久久，然后在對(duì)數(shù)據(jù)挖掘相關(guān)理論日韩亚洲欧美视频、關(guān)聯(lián)規(guī)則思想及主要算法進(jìn)行討論，分析經(jīng)典Apriori算法及其存在的問題、基本解決方案后欧美色欲综合一区二区，提出了適合本文挖掘的多維Apriori算法的設(shè)計(jì)方案午夜欧美黄大片，并應(yīng)用于本文挖掘中；接著論文介紹了科研數(shù)據(jù)的關(guān)聯(lián)挖掘系統(tǒng)的結(jié)構(gòu)欧美性生活视频久久，確定了面向主題的挖掘任務(wù)日日夜夜操屄，包括：科研項(xiàng)目信息的挖掘、論文信息的挖掘曰本另类女同专区久久精品、學(xué)術(shù)專著信息的挖掘等www69炮；設(shè)計(jì)了關(guān)聯(lián)規(guī)則的實(shí)施過程，并通過程序編碼得以實(shí)現(xiàn)日韩毛片毛片久久精品，獲得了多條有啟發(fā)性的關(guān)聯(lián)規(guī)則欧美色日，并對(duì)其進(jìn)行了解釋與分析。

Object of data mining is service concepts of service bag, carrier of data mining is history data, and spirit of data mining is mining classification.

在對(duì)服務(wù)概念開發(fā)進(jìn)行數(shù)據(jù)挖掘時(shí)永久免费A片在线观看全网站妓女，服務(wù)包中的服務(wù)概念是數(shù)據(jù)挖掘的對(duì)象欧美大尺度免费性交，歷史數(shù)據(jù)是數(shù)據(jù)挖掘的載體，分類挖掘是數(shù)據(jù)挖掘的指導(dǎo)思想黄片a级a级a级。

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.

中文題名化學(xué)數(shù)據(jù)挖掘新算法和定量構(gòu)性關(guān)系基礎(chǔ)研究副題名外文題名 New methodology in chemical data mining and foundational research on QSPR 論文作者杜一平導(dǎo)師梁逸曾學(xué)科專業(yè)分析化學(xué)研究領(lǐng)域\研究方向化學(xué)計(jì)量學(xué)學(xué)位級(jí)別博士學(xué)位授予單位湖南大學(xué)學(xué)位授予日期2002 論文頁碼總數(shù)115頁關(guān)鍵詞定量構(gòu)性關(guān)系化學(xué)計(jì)量學(xué)數(shù)據(jù)挖掘館藏號(hào)BSLW /2003 /O6 /2 化學(xué)數(shù)據(jù)挖掘正逐漸引起化學(xué)家們的關(guān)注国产wwwww视频。

And the efficiency and precision of three methods have been analyzed and contrasted by using the CRISP_DM (Cross-industry Process for Data Mining) frame and the step of business understanding, data understanding, data preparation, modeling evaluation and development.

以CRISP_DM(Cross-industry Process for Data Mining)方法論為建模過程框架，按照商業(yè)理解爆乳网站、數(shù)據(jù)準(zhǔn)備黄色网站免费入囗、建立模型、模型評(píng)估熟女操B视频、模型發(fā)布的步驟bbixx国产av，在建模過程中對(duì)三種算法的效率和精度進(jìn)行分析和對(duì)比。

From October 16th to 17th, 2006, lead by the subdecanal Hong Xiaowen, the five visitors from Microsoft Research Asia came to visit Nanjing University. On the afternoon of 16th, Doctor Ma Weiying's lecture "Face Recognition and Computer Vision Research at Microsoft Research Asia" was held in room 109 of the technology building in Nanjing University. The room was full of people at that point. On the afternoon of 17th, Doctor Ma Weiying's lecture "Web-scale Data Mining for Search" was held. At the same time, hosted by Gong Yongen, the schoolfellow of Nanjing University and software development engineer in searching technology center of MRA, the experience sharing meeting was held. They won the same nice echo.

2006年10月16日至17日久久婷婷香蕉热狠狠综合，以洪小文副院長(zhǎng)為首的微軟亞洲研究院訪問團(tuán)一行5人訪問南京大學(xué)国产吞精口爆一区二区。10月16日下午，湯曉鷗博士學(xué)術(shù)報(bào)告《Face Recognition and Computer Vision Research at Microsoft Research Asia》在南京大學(xué)科技樓109報(bào)告廳進(jìn)行国产乱伦视频免费观看，現(xiàn)場(chǎng)座無虛席国产高中三级视频。10月17日下午，馬維英博士學(xué)術(shù)講座《Web-scale Data Mining for Search》以及南京大學(xué)校友亚洲专区第一页、微軟亞洲研究院搜索技術(shù)中心軟件開發(fā)工程師龔永恩主持的校友經(jīng)驗(yàn)分享會(huì)同時(shí)進(jìn)行最新国产小视频在线观看，同樣取得了熱烈的反響。

Eveloped by the Data Mining Group , an independent, vendor led committee, PMML provides an open standard for representing data mining models.

ata Mining Group是一個(gè)基金支持的獨(dú)立的組織禁止18岁以下观看,黄片，其開發(fā)的PMML語言是一種開放的數(shù)據(jù)模型描述語言三级国产精品。

This paper is based on data mining technology,use weka as a library data mining software tool,use weka's j48 tree algorithm and data association analysis library data.mining useful data which user needs from the mass library data and get reasonable results.ultimately to improve work efficiency and scientific management.

該文以數(shù)據(jù)挖掘技術(shù)為基礎(chǔ)，利用weka軟件作為圖書館數(shù)據(jù)挖掘工具偷拍照片网，通過weka里的j48樹算法和數(shù)據(jù)關(guān)聯(lián)等算法男人插女人逼逼的视频，對(duì)圖書館的館藏?cái)?shù)據(jù)進(jìn)行相應(yīng)的分析欧美人射精视频，從海量數(shù)據(jù)中挖掘出用戶需要的有用數(shù)據(jù)，并得到合理的統(tǒng)計(jì)結(jié)果日日插人人插。最終達(dá)到提高工作效率黄片亚洲一区，能夠科學(xué)管理的目的。

The major achievement of this paper is: Based on characteristics of the traffic data distribution, execute pattern recognition operations on traffic condition on two dimensions by clustering, then use BP neural network to describe and forecast traffic flow aiming at each pattern. Making use of classic flow-occupancy inverse "V" model, implement polynomial fitting using least-squares algorithm and statistics method on flow curves to detect outliers which are proved to be not accord with practice through the actual implement, then use the moving average model to recorrect the outliers and absent. Make correlation analysis on muti-direction flow queues of the intersection and ones of upriver intersections, choose flow queue with high correlation as assistant one to improve the error tolerance of the prediction system, at the same time we can use the method to give an estimation of flow in intersection with out sensors. We design and implement an SOA(Service-Oriented Architecture)-based UTDD(urban traffic data mining development) with high expansibility and performance, which implement unified management and call of the data-mining application though defining a XML-based description of data-mining process and a common interface to call data-mining process, finally we build traffic flow prediction application model on UTDD.

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In a database the concept of an example might change along with time which is known as concept drift When the concept drift the classification model built by use of old data is unsuitable for classify new data Therefore concept drift has become a hot issue in data mining in recent years Although many algorithms had been proposed to resolve this problem they can not provide users with the reason of concept drift However a user might be very interested in such rules For example doctors want to find what makes disease change; researchers want to know the reason of the variety of the weather; and decision makers would like to understand why a customer's shopping habit change In this thesis we propose a Concept Drift Rule mining Tree called CDR-Tree to solve this problem CDR-Tree can not only find the rule of concept drift also build the prediction model for both old and new data at the same time

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The data model is the data source for the integrated mining which is built by using Snow Flake Schema. The integrated mining model consists of local mining and global mining. That is to say, firstly, monitoring cell mining, point mining and monitoring data mining are fulfilled respectively, then global mining model is run to opimize the monitoring process. The paper brings forward how to build up these models and the framework, and what variables should be delivered.

首先，采用雪花結(jié)構(gòu)建立了數(shù)據(jù)模型構(gòu)架中文在线一页，為流程挖掘提供數(shù)據(jù)底層人人操人人看人人摸人人干；然后建立了監(jiān)測(cè)流程綜合挖掘模型構(gòu)架，給出了監(jiān)測(cè)單元挖掘欧美日韩二、監(jiān)測(cè)點(diǎn)位挖掘和監(jiān)測(cè)數(shù)據(jù)挖掘超碰在干，以及綜合挖掘的模型函數(shù)和參數(shù)，以局部?jī)?yōu)化和全局優(yōu)化的思路實(shí)現(xiàn)了土壤環(huán)境監(jiān)測(cè)全流程優(yōu)化日本一区二区欧美亚洲国产。