numeric attribute中文是什么意思

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中文翻譯
造句

數(shù)字屬性

numeric n. 【數(shù)學(xué)】數(shù)，數(shù)字；分?jǐn)?shù)；不可通約的比例。 adj. ...
attribute vt. 1.把(某事)歸因于…。 2.認(rèn)為…系某人所為。 ...
numeric n. 【數(shù)學(xué)】數(shù)，數(shù)字；分?jǐn)?shù)；不可通約的比例。 adj. ＝numerical.
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(xiě)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
numeric to numeric conversion 數(shù)字一數(shù)字轉(zhuǎn)換
numeric-to-numeric conversion 數(shù)字一數(shù)字轉(zhuǎn)換
alpha numeric 字母數(shù)字的
alphabetic numeric 字母數(shù)字的
alphabetic-numeric 字母數(shù)字的
aplha-numeric 字?jǐn)?shù)組
constrain numeric 數(shù)字約束
control, numeric 數(shù)字控制
intrinsic numeric 本質(zhì)數(shù)值
numeric access 數(shù)字存取
numeric address 數(shù)字地址
numeric alphabetic 數(shù)字字母的; 字母數(shù)字的
numeric analysis 數(shù)值分析; 數(shù)值分折
numeric aperture 數(shù)值孔徑; 數(shù)值口徑, 光口
numeric arrangement 數(shù)字排列
numeric array 數(shù)字排列
numeric atrophy 減數(shù)性萎縮; 數(shù)減性萎縮
numeric autocode 數(shù)字自動(dòng)編碼
numeric base 數(shù)值進(jìn)制

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例句與用法

Discretization : for numeric attributes , sometimes it is not useful to display each distinct value of an attribute
離散化：對(duì)于數(shù)值屬性，顯示屬性的每個(gè)非重復(fù)值通常毫無(wú)意義。
The default size is 6 , and can be changed by adding a numeric attribute to a tag in the web . config file , as shown in the following example
默認(rèn)大小是6 ，可以通過(guò)將數(shù)字屬性添加到web . config文件中的標(biāo)記來(lái)更改此大小，如下面的示例所示。
For the sake of further improving performance , this paper made some improvements to sliq . first , we use a new splitting index to evaluate the “ goodness ” of the alternative splits for attributes instead of gini index . secondly , we regard categorical attributes with only two possible values as numeric attributes when evaluate splits
為了進(jìn)一步提高分類準(zhǔn)確率和速度,論文對(duì)sliq算法作了一些改進(jìn):用新的屬性選擇度量代替gini索引,用處理連續(xù)值屬性的方法處理只有兩個(gè)可能值的分類屬性。
Optimized association rules are permitted to contain uninstantiated attributes . the optimization procedure is to determine the instantiations such that some measures of the roles are maximized . this paper tries to maximize interest to find more interesting rules . on the other hand , the approach permits the optimized association rule to contain uninstantiated numeric attributes in both the antecedence and the consequence . a naive algorithm of finding such optimized rules can be got by a straightforward extension of the algorithm for only one numeric attribute . unfortunately , that results in a poor performance . a heuristic algorithm that finds the approximate optimal rules is proposed to improve the performance . the experiments with the synthetic data sets show the advantages of interest over confidence on finding interesting rules with two attributes . the experiments with real data set show the approximate linear scalability and good accuracy of the algorithm
優(yōu)化關(guān)聯(lián)規(guī)則允許在規(guī)則中包含未初始化的屬性.優(yōu)化過(guò)程就是確定對(duì)這些屬性進(jìn)行初始化,使得某些度量最大化.最大化興趣度因子用來(lái)發(fā)現(xiàn)更加有趣的規(guī)則;另一方面,允許優(yōu)化規(guī)則在前提和結(jié)果中各包含一個(gè)未初始化的數(shù)值屬性.對(duì)那些處理一個(gè)數(shù)值屬性的算法進(jìn)行直接的擴(kuò)展,可以得到一個(gè)發(fā)現(xiàn)這種優(yōu)化規(guī)則的簡(jiǎn)單算法.然而這種方法的性能很差,因此,為了改善性能,提出一種啟發(fā)式方法,它發(fā)現(xiàn)的是近似最優(yōu)的規(guī)則.在人造數(shù)據(jù)集上的實(shí)驗(yàn)結(jié)果表明,當(dāng)優(yōu)化規(guī)則包含兩個(gè)數(shù)值屬性時(shí),優(yōu)化興趣度因子得到的規(guī)則比優(yōu)化可信度得到的規(guī)則更有趣.在真實(shí)數(shù)據(jù)集上的實(shí)驗(yàn)結(jié)果表明,該算法具有近似線性的可擴(kuò)展性和較好的精度
Followed by the rapid extension of data size , the usage of parallel technology is a very important method to improve the efficiency of data ming . sliq uses novel pre - sorting and breadth - first techniques to build a decision tree fast and accurately on a large data set , and can deal both categorical and numeric attributes . but the primary algorithm contains the abundant computing on attribute and record
本文首先分析了串行sliq算法的原理和特點(diǎn)，針對(duì)其不足提出了一些改進(jìn)方法，然后在基于pvm的環(huán)境下實(shí)現(xiàn)了算法的并行化，分析了算法的時(shí)間復(fù)雜度和加速比，提高了sliq算法的效率，具有一定的理論意義和實(shí)用價(jià)值。

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