粗數據 的英文怎麼說

中文拼音 [cūshǔjù]
粗數據 英文
raw data
  • 粗 : Ⅰ形容詞1 （長條東西直徑大的） wide （in diameter）; thick 2 （長條東西兩長邊的距離寬的） wide （i...
  • 數 : 數副詞（屢次） frequently; repeatedly
  • 據 : 據Ⅰ動詞1 （占據） occupy; seize 2 （憑借; 依靠） rely on; depend on Ⅱ介詞（按照; 依據） according...
  • 數據 : data; record; information
  1. The model of the itr between a1n and cu is built by using the acoustic mismatch model, amm and diffuse mismatch model, dmm. because there is a limit of roughness and temperature in amm and dmm, the data of the theory model that is directly built by amm and dmm is far from the experimental data. accordingly, with dmm and traditionary methods, the mathematics model is posed by contrast and analyses of the experiment data

    由於聲失配理論和散聲失配理論對溫度和粗糙度有很嚴格的要求，所以直接建模所得的理論數據與實驗數據有很大的差距，本文採用聲失配理論與傳統研究方法相結合，通過與實驗數據的分析擬合，提出了修正的數學模型，預測誤差有了大幅度的提高。
  2. In this paper, the discussion is mainly focused on the following four aspects : 1. use the rsda model to build business assistant decision support system, and implement antetype system

    本文著重從以下幾個方面進行了研究: 1 、採用粗糙集數據分析模塊來建立商業輔助決策支持系統，開發原型系統。
  3. For example, in html you use tags to tell the browser to display data as bold or italic ; in xml you use tags only to describe data, such as city name, temperature, and barometric pressure

    例如，在html中，使用標記來告訴瀏覽器將數據顯示為粗體或斜體；而在xml中，標記只用於描述數據，例如城市名、溫度和大氣壓。
  4. An isolated point " s statistic excluding method is proposed in this paper to eliminate crassitude error in clouding data, which include plenty of oddity data. the method based on the distance between two neighbour points can eliminate the data beyond normal distribution. a error limitation of angle and chordal highness method is used to filtrate clouding point

    針對大量含奇異點的數據點雲，本文提出了剔除粗大誤差的孤立點統計排異法，該方法根據對相鄰點距離的統計，剔除在正態分佈以外的點；對大量數據的精減，利用角度和弦高的最大允許偏差法進行點雲精減。
  5. Commerce data mining based on rough set theory

    粗糙集理論在商業數據挖掘中的應用
  6. The roughness measures and data mining of s - rough sets

    粗糙集的粗糙度與數據挖掘
  7. This paper recurred to the basic theory of rough set of data mining and under the direction of the frame of intelligent decision, the main theories include i ) the different methods of data mining on the base of rough set are used to deal with typical decision system namely consistent decision system and inconsistent decision system in order to carry through data reduction and rule distilment ; ii ) in the environment of dynamic increment database, the methods of data reduction to deal with the original data and increment data are discussed in the consistent and inconsistent decision system ; iii ) the method of data mining of rough set is analysized to treat with the attributes with priority ; iv ) on the base of basic rough set theory, the data analysis methods of amalgamation of rough set theory ; v ) and also the pre - disposal method to database is analysize

    本文從系統工程進行決策分析的角度出發，藉助數據挖掘技術中粗糙集的基本理論，在智能決策框架的指導下，研究了基於數據挖掘的智能決策理論及方法。主要理論包括：如何利用粗糙集對典型的決策系統即相容性決策系統和不相容性決策系統運用不同的數據挖掘方法進行有效的數據約減和規則提取；在增量動態的數據庫環境下討論了在典型決策系統中對原始數據和增量數據進行數據約減的方法；分析了帶有優先權屬性的粗糙集數據挖掘方法；以基本粗糙集為基礎探討了粗糙集擴展模型的數據分析方法；研究了粗糙集數據預處理方法。
  8. Extrapolated and interpolated data are shown by heavy lines.

    外推和內插的數據以粗線表示。
  9. Outlier detection is a very important technique in data mining. in this paper, a more practicable system on outlier mining technique in high - dimensional is presented, which uses reduction character of rough set to cut out some inessential attributes and then mines outliers in subspace of every correlation rules

    本文提出了對高維空間下離群點挖掘技術上的一個改進，即利用粗糙集的約簡特性對高維空間下的數據屬性進行約簡，通過約簡一些無關緊要的屬性來減少高維空間的維數。
  10. Data pre - processing based on rough set theory

    基於粗糙集理論的數據預處理
  11. With the rough sets theory, people can process the undistinguished problem using uncompleted information or knowledge. and also enhance the capability to classify the imprecise data coming from observation or measurement

    粗糙集理論反映了人們以不完全信息或知識去處理一些不可分辨現象的能力，或依據觀察、度量得到某些不精確的結果而進行數據分類的能力。
  12. 21 pajarola r, sainz m, lario r. extreme splatting : external memory multiresolution point visualization. department of computer science, university of california irvine, 2004, uci - ics - 04 - 14. 22 airey j m, rohlf j h, brooks f p jr. towards image realism with interactive update rates in complex virtual building environments

    二是考察各個層次結點的幾何誤差情況，並為每種幾何誤差記錄序列中最先滿足該誤差要求的層次片段，以便成象時能很快剔除太粗糙的點數據，這對于模型的近距離成象是非常有用的。
  13. Rs theory was proposed by pawlak in 1982. the focus of rs theory is on the ambiguity caused by limited discernibility of objects in domain of discourse. fuzzy set theory was proposed by zadeh in 1965 and hinges on the notion of a membership function on the domain of discourse, assigning to each object a grade of belongingness in order to represent an imprecise concept. the combination of fuzzy sets and rough sets are a new study and is very value in fact

    粗糙集理論是波蘭數學家z . pawlak於1982年提出來的兩種處理不確定和不精確數據的理論，是通過等價關系來研究對象之間的不可分辨關系;模糊集理論是美國控制論專家zadeh於1965年提出的一種處理非精確的現象的數學工具，是利用集合的特徵函數來處理邊界的不可定義性，在模糊集合中並沒有應用對象之間不可分辨性的概念。
  14. Scientific research and design institute of cscec in guizhou cooperate with prof. peng xiaoqin, and research the bond technology of the new and old concrete. which are researched to four points as follows : 1. several major methods evaluating the degree of roughness were analyzed, and their advantages and disadvantages were analyzed

    貴州中建建築科研設計院與重慶大學材料學院彭小芹教授合作，主要對新舊混凝土粘結技術進行了研究，主要集中在以下幾個方面: 1 .分析目前常用的幾種評價粗糙度的方法，並對每種方法的優缺點進行評述;提出一種簡便易行的測量粗糙度的方法，克服目前常用方法的缺點，並通過多組數據和灌砂法進行相關性分析，得出兩者之間的關系。
  15. As an effective approach to processing incomplete, imprecise or uncertain information, rough set has been playing an important role in the area of data mining and knowledge discovery

    粗糙集作為一種處理不完全、不精確及不確定信息的有效方法，在數據挖掘和知識發現領域大有用武之地。
  16. Rough set theory is a data mining approach capable of dealing with incomplete and inaccurate data, and it has been successfully applied to artificial intelligence and knowledge discovery, pattern recognition and classification, and fault detection

    粗糙集理論是數據挖掘的方法之一，它是處理模糊和不確定知識的一種數學工具，已在人工智慧與知識發現，模式識別與分類，故障檢測等方面得到了較好應用。
  17. Rough set theory is an important tool to extract knowledge in databases. due to its capability of dealing with incomplete and inaccurate data, and the high readability of the rules extracted, rough set theory has been considered the apple of researchers " eyes recently

    因為粗糙集理論能夠處理不完備不準確的數據並且其提取出的規則易於理解，同時，自粗糙集於八十年代提出之後，其已成功地運用於許多商業應用中，因而粗糙集理論得到了眾多研究者的青睞。
  18. Knowledge inclusion degree and information entropy of rough set data analysis

    知識包含度與粗糙集數據分析中的信息熵
  19. To get mass flow rate of vent gas and coarse aeetaldehyde from their volume flow rate data, density compensations are performed with regressed relationship between density and ( temperature, pressure and concentration )

    針對包含化學反應過程的生產流程，提出了基於原子衡算的數據調和演算法，並將之應用於乙醛生產過程的數據調和。調和計算中考慮了粗乙醛流量和小放空氣體流量的密度補償。
  20. Secondly, by using the scattering characteristics of rough surface, the relation formula between received power and transmitted power of remote system for a facet is derived. finally, the scattering power for a conductor sphere is computed. 4

    根據有關測量數據，提出了激光引信的發射波束模型，並結合粗糙面散射理論，導出面元散射功率方程，給出導體球的激光近場散射功率結果。
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