例句與造句

1. Style classification analysis of chinese mutual funds
   中國(guó)證券投資基金風(fēng)格分類研究
2. Gray system classification analysis and lake eutrophication assessment
   灰色系統(tǒng)聚類分析與湖泊富營(yíng)養(yǎng)程度評(píng)價(jià)
3. And effects on improving original inversion image are clear by associated use of post treatments , variance truncating , median filtering and classification analysis
   依據(jù)模型參數(shù)方差向量，本文提出了方差截?cái)嗪筇幚矸椒?，并結(jié)合中值濾波和聚類分析，對(duì)原始反演圖像進(jìn)行去噪后處理，成效明顯。
4. It focuses on the classification analysis in terms of the content of nationalism , the geographic boundary of nationalism and the political orientation of nationalism ; part ii analyzes the major features of the contemporary nationalism
   本文旨在嘗試在對(duì)民族主義進(jìn)行分類、對(duì)民族主義在冷戰(zhàn)后的表現(xiàn)及民族主義泛起的原因進(jìn)行分析的基礎(chǔ)上，對(duì)全球化時(shí)代民族主義在新世紀(jì)的發(fā)展趨勢(shì)做初步的探討。
5. According to user ' s request of flexible query , finding rule through data , data visualizing , jjms applied descriptive data mining including olap , concept description and so on . it realized the function of basic analysis , classification analysis , related analysis , characteristic value analysis . the result show at the way of pivot table , pivot chart . it satisfied the user preferably
   “交通部紀(jì)檢監(jiān)察統(tǒng)計(jì)分析系統(tǒng)”根據(jù)用戶提出的靈活統(tǒng)計(jì)、從數(shù)據(jù)中發(fā)現(xiàn)規(guī)律、直觀展現(xiàn)數(shù)據(jù)的需求，應(yīng)用olap 、概念描述等描述數(shù)據(jù)挖掘技術(shù)，實(shí)現(xiàn)了基本情況分析、分類分析、動(dòng)態(tài)分析、關(guān)聯(lián)分析、特征值分析等一系列功能，以透視表、透視圖為主要的數(shù)據(jù)展現(xiàn)方式，較好的滿足了用戶的需求，得到了用戶的肯定。
6. It's difficult to find classification analysis in a sentence. 用classification analysis造句挺難的
7. The third part talks about the analysis and design of the business intelligence module which is a part of zhen xiang project , then explores the application of data mining to provide market basket analysis , customer classification analysis and other intelligent analyses . we research on how to provide intelligent analysis based on data mining for the enterprise in the e - commerce system
   本文對(duì)振湘項(xiàng)目二期工程的商業(yè)智能分析子系統(tǒng)進(jìn)行了分析和設(shè)計(jì)，嘗試應(yīng)用數(shù)據(jù)挖掘來(lái)完成購(gòu)物籃分析、客戶細(xì)分等分析功能，并且對(duì)在電子商務(wù)系統(tǒng)中結(jié)合企業(yè)需求提供基于數(shù)據(jù)挖掘的智能分析服務(wù)進(jìn)行了有意義的研究探索。
8. Data mining is an important research subject in the field of information technology . it means a process of nontrivial extraction of implicit , previously unknown and potentially useful information from data in databases or datawarehouses . it involves such subject areas as database , artificial intelligence , machine learning and statistics . classification analysis is an important data mining problem
   數(shù)據(jù)挖掘( datamining )是信息處理技術(shù)研究領(lǐng)域的一項(xiàng)重要課題。它是指從大型數(shù)據(jù)庫(kù)或數(shù)據(jù)倉(cāng)庫(kù)中提取隱含的、未知的、非平凡的以及有潛在應(yīng)用價(jià)值的信息或模式的過(guò)程。
9. This thesis expatiates on the state - of - the - art of dm technique , with emphasis on data mining algorithms such as clustering analysis , classification analysis , dependence analysis and statistical analysis . a comparative study of three popular dm tools ( ibm intelligent miner , spss clementine and sas enterprise miner ) is carried out . the future trends of dm technology are also revealed
   論文闡述了數(shù)據(jù)挖掘技術(shù)在國(guó)內(nèi)外的研究現(xiàn)狀,對(duì)目前主要的數(shù)據(jù)挖掘算法如聚類分析、分類分析、相關(guān)分析和統(tǒng)計(jì)分析進(jìn)行了剖析,對(duì)當(dāng)前最為流行的數(shù)據(jù)挖掘工具ibmintelligentminer 、 spssclementine及sasenterpriseminer進(jìn)行比較分析,闡述了數(shù)據(jù)挖掘技術(shù)的未來(lái)發(fā)展趨勢(shì)。
10. The studying method of flora adopted by this thesis are follows : the statistics of the dominant families and genera , along with single families and genera , abundance index ( ai ) , similarity coefficient of genus ( scg ) , floristic spectrum analysis ( fsa ) , principal components analysis ( pca ) , as well as agglomerative classification analysis ( aca )
    16 ；單種屬占總屬數(shù)的39 39 ，其種數(shù)僅占總種數(shù)的門26 ；而6個(gè)優(yōu)勢(shì)科中所含的種數(shù)占到總種數(shù)的903 ， 9個(gè)優(yōu)勢(shì)屬中所含的種數(shù)占總種數(shù)的47