quantitative attribute中文是什么意思

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中文翻譯
造句

量的屬性
品質(zhì)屬性
數(shù)量屬性

quantitative adj. 【數(shù)學(xué)】量的；定量的。 the quantit ...
attribute vt. 1.把(某事)歸因于…。 2.認(rèn)為…系某人所為。 ...
quantitative adj. 【數(shù)學(xué)】量的；定量的。 the quantitative limits that determine the qualities of things 決定事物質(zhì)量的數(shù)量界限。 adv. -ly
attribute vt. 1.把(某事)歸因于…。 2.認(rèn)為…系某人所為。 attribute (one's success) to (hard work) 認(rèn)為(成功)是(努力)的結(jié)果。 be attributed to 被認(rèn)為是…所為 (The play is attributed to Shakespeare. 這劇本被認(rèn)為是莎士比亞寫的)。 n. 1.屬性，特質(zhì)。 2.(人物、官職等的)標(biāo)志，表征。 3.【語(yǔ)法】屬性形容詞。 A scepter is the attribute of power. 權(quán)杖是權(quán)力的標(biāo)志。
attribute to （功歸于）歸因于; 把…歸因于; 把...歸因于，歸咎于; 把……歸于,認(rèn)為……是……; 歸功于; 歸結(jié)于; 歸因于
attribute…to 把……歸因（咎）于……; 將…歸因于
objective attribute target attribute 目標(biāo)屬性
a quantitative difference 數(shù)量上的差別
a quantitative index 定量指數(shù)
in quantitative terms 在數(shù)量上
in-quantitative calculation 進(jìn)入定量計(jì)算過(guò)程
investigation， quantitative 定量研究
isolation， quantitative 定量分離
quant quantitative 定量的
quantitative aberration 數(shù)量畸變
quantitative accent 量重音, 長(zhǎng)度重音
quantitative adsorption 定量吸附
quantitative alteration 量之改變
quantitative analysis 定量分析。
quantitative approach 定量方法; 定量分析; 數(shù)量方法
quantitative aspect 容量現(xiàn)象
quantitative aspects 數(shù)量方面
quantitative assay 定量測(cè)定,定量分析
quantitative assessment 定量考核; 定量評(píng)定; 定量評(píng)價(jià); 量化評(píng)估
quantitative atrophy 減數(shù)性萎縮

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例句與用法

Attributes reduct , mining classification rules , and discretizing values of quantitative attributes are three fields in mining classification rules
屬性約簡(jiǎn)、分類規(guī)則提取、數(shù)量屬性離散化是分類規(guī)則挖掘的三個(gè)方面。
( 3 ) the evolutionary computation - based algorithm for discretizing values of quantitative attributes , whose advantage is that it can finding the best cuts of a quantitative attribute
( 3 )根據(jù)進(jìn)化計(jì)算的極強(qiáng)魯棒性及尋優(yōu)能力，提出了基于進(jìn)化計(jì)算的數(shù)量型屬性離散化算法?進(jìn)化c均值算法。
How to handle these attributes affects the mining results and the efficiency . the dissertation proposes the methods of changing the quantitative attributes into bool attributes , so that many algorithms can be used , based on enhanced fcm and the genetic method
（ 2 ）在分布式挖掘過(guò)程中，分布式數(shù)據(jù)庫(kù)中存在著大量的數(shù)量屬性，這些數(shù)量屬性的處理好壞，直接影響著關(guān)聯(lián)規(guī)則的挖掘效果和效率。
And also this taxonomy gives the quantitative attributes in more sides on finer layers and emphasizes the influences of vulnerabilities on the confidentiality , authentication and availability of systems so that it can provide abundant information for vulnerability description and assessment
此外,也提供了弱點(diǎn)多側(cè)面細(xì)層次上的量化屬性,并且突出了弱點(diǎn)對(duì)系統(tǒng)機(jī)密性、可鑒別性和可用性等安全屬性的影響,為量化的弱點(diǎn)描述、評(píng)估提供了豐富的信息支持。
However , in practical applications , considering cost in constructing the networks or management in networks , users prefer staring networks to net networks which do not meet their requirements . the dissertation proposes the c - dma algorithm to solve this problem , based on fdm and cd . experimental results show that the performance of the c - dma is available and extendable . ( 2 ) in the process of mining association rules , the quantitative attributes exit in databases
但是，在實(shí)際的網(wǎng)絡(luò)應(yīng)用環(huán)境中，用戶基于成本和管理等方面的需要，使用的網(wǎng)絡(luò)結(jié)構(gòu)往往是星型結(jié)構(gòu)的，所以cd算法和fdm算法在網(wǎng)絡(luò)結(jié)構(gòu)和實(shí)際的網(wǎng)絡(luò)結(jié)構(gòu)不相適應(yīng)，本文在cd算法及fdm算法的基礎(chǔ)上提出以中心結(jié)點(diǎn)結(jié)構(gòu)的分布式關(guān)聯(lián)規(guī)則挖掘算法，并且從算法分析和仿真試驗(yàn)兩個(gè)方面證明了算法的有效性和可擴(kuò)展性。
For the data with quantitative attribute , several unsupervised discretization methods of continuous features are discussed . three simple boolean discretization methods ( equal width , equal frequency and cluster ) and fuzzy discretization are simulated based on a real population statistical database
隨后針對(duì)數(shù)據(jù)庫(kù)中的模擬量屬性，分析了非監(jiān)督定量屬性離散化的幾種方法，在一個(gè)統(tǒng)計(jì)數(shù)據(jù)庫(kù)基礎(chǔ)上仿真研究了分別基于等寬、等頻和聚類的布爾型分段離散化方法和模糊離散化方法。
In the process of data mining , there exists a sharp boundary problem if using intervals to deal with quantitative attributes , so we introduce fuzzy sets to solve this problem , and experiment results approve the feasibility of using fuzzy association rules and fuzzy frequency episodes to detect anomalies
在數(shù)據(jù)挖掘過(guò)程中,由于利用間隔來(lái)處理數(shù)值屬性容易產(chǎn)生尖銳的邊界問題,我們引入模糊集的概念到數(shù)據(jù)挖掘算法來(lái)解決這個(gè)問題,給出了具體的算法,并通過(guò)實(shí)驗(yàn)證實(shí)了利用模糊關(guān)聯(lián)規(guī)則和模糊頻繁序列檢測(cè)異常的可行性。
Because the existing vulnerability taxonomies at large lack support for the quantitative assessment and uncovering the vulnerability correlations , this dissertation proposes a vulnerability taxonomy for mining the correlations with multidimensional quantitative attributes , gives the corresponding mining algorithm and an experiment is given to validate the effectivity of the algorithm
由于已有的弱點(diǎn)分類法普遍缺乏對(duì)量化評(píng)估以及對(duì)揭示弱點(diǎn)關(guān)聯(lián)特性的支持,為此,本文提出了一種支持關(guān)聯(lián)性挖掘的多維量化屬性弱點(diǎn)分類法,給出了相應(yīng)的挖掘算法,并以實(shí)驗(yàn)驗(yàn)證了該算法的有效性。

其他語(yǔ)種釋義

quantitative attributeとは意味：量的特質(zhì)｛りょうてきとくしつ｝

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