數據值屬性 的英文怎麼說

中文拼音 [shǔjùzhízhǔxìng]
數據值屬性 英文
data-valued property
  • 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...
  • 屬 : 屬名詞1 （類別） category 2 [生物學] （生物分類系統上所用的等級之一） genus 3 （家屬; 親屬） fami...
  • 性 : Ⅰ名詞1 （性格） nature; character; disposition 2 （性能; 性質） property; quality 3 （性別） sex ...
  • 數據 : data; record; information
  1. 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

    優化關聯規則允許在規則中包含未初始化的屬性.優化過程就是確定對這些屬性進行初始化，使得某些度量最大化.最大化興趣度因子用來發現更加有趣的規則;另一方面，允許優化規則在前提和結果中各包含一個未初始化的數值屬性.對那些處理一個數值屬性的演算法進行直接的擴展，可以得到一個發現這種優化規則的簡單演算法.然而這種方法的性能很差，因此，為了改善性能，提出一種啟發式方法，它發現的是近似最優的規則.在人造數據集上的實驗結果表明，當優化規則包含兩個數值屬性時，優化興趣度因子得到的規則比優化可信度得到的規則更有趣.在真實數據集上的實驗結果表明，該演算法具有近似線性的可擴展性和較好的精度
  2. ( 3 ) distill the environmental geologic factors and analyzes their harmness and reasons mainly analyzes the status in quo, reason, distribution, harmness and defend for the falls, surface sink, mine suddenly water, landslip, castoff, etc. ( 4 ) evaluate the probability of the geology calamity take use of the method of factors and coverage union to evaluate the probability of the geology calamity, and then plot out the high, middle and low probabilit

    （ 3 ）提取環境地質因素並進行分析其危害及成因利用提取的要素、數字地面模型和屬性數據庫及常規資料重點分析了構造、塌陷、礦坑突水、崩塌、廢棄物、地下水疏干區等要素的現狀、分佈、成因、危害及防治。 （ 4 ）為金礦區地質災害易發性做出評價利用權重值和圖層疊加的方法對金礦區地質災害易發性做出評價，把金礦區劃分為高易發地區、中易發地區和低易發地區，針對這些地區提出治理措施。
  3. And apatite. by these analyses and comparison with general granite both in china and the world and with the granite in other au or cu belt in china, the characteristics of the granite in this area are concluded as follows. it belongs to magnetite - i or syntectic granite and has crust - mantle mixed characteristics ; it was formed mainly by crystallization differentiation of melting magma and multiphase varied intrusion ; the degree of differentiation evolvement is not high ; the granite and its enclaves p. re congenetic ; the range of temperature is about 500 - 700, the range of pressure is about 2. 50 gpa - 4. 35 gpa, and the range of oxygen fugacity ( lg fo2 ) is - 15. 53 - - 14. 00 ; most granite bodies formed before the collision of plates, and few formed after the collision of plates

    通過對測試數據的分析與綜合研究，並同中國和世界一般花崗巖類以及中國主要金、銅成礦巖體的花崗巖類進行對比，得出本區花崗巖類巖石具有以下特徵：屬磁鐵礦-型或同熔型花崗巖，其巖漿物質具殼幔混源特徵：主要由熔融態巖漿經結晶分異作用，通過多期變速上侵而形成；其分異演化程度較低；寄主巖基和包體具有同源性；巖石的形成溫度范圍約為500 - 700 ，壓力大約為2 . 50gpa - 4 . 35gpa ，氧逸度值1gfo _ 2為- 15 . 53 ? 14 . 00 ；該巖帶主要形成於板塊碰撞前消減的活動板塊邊緣期，為燕山至喜馬拉雅早期的大陸邊緣火山弧環境的產物。
  4. Abstract : the data redundant in relational database is caused by the reduplication of the table, attribute, record, or attribute value

    文摘:關系數據庫的數據冗餘形成的原因有表的重復、屬性的重復、元組的重復、屬性值的重復。
  5. The function design of system includes writing down amendment and pretreatment about spatial database and attribute database. this system provides common and basic functions of gis. besides, we can make out the topographical maps, planimetric maps and skiagraph, structure objects of highway construction of design and can inquire two - way between spatial information and attribute information

    系統功能設計包括空間數據庫和屬性數據庫的錄入、修改以及預處理；系統還提供了一般gis系統應具備的基本功能，並在此基礎上進行涵蓋公路設計施工的地形圖、平縱縮圖、構造物等圖形信息與屬性信息的雙向查詢，並運用掙值法等對相關屬性進行分類統計以供有關公路工程項目的各方使用。
  6. In this study, the model emphasizes particularly on time series of geological entity and at the same time it realizes the integration of the spatial model and the attributive model by integrating complicated spatial and attributive character of forest resources. program is realized by matlab. the ann toolbox of matlab established many tool functions based on ann theory

    本項研究中，基於gis的神經網路預測模型主要側重的是地理實體數量時間結構序列，模型結合森林資源復雜的空間和屬性特徵，不僅使用了gis關系數據庫中的屬性時間序列值，同時也使用了一定的空間模型，實現了空間模型與屬性模型的有效結z 、口0在程序的實現上採用m八tlab開發環境，其中的神經網路工具箱以人工神經網路理論為基礎，構造了網路分析和設計的許多工具函數。
  7. Base attribute, whose value is the qualified name of the base data type

    屬性，該屬性的值為基數據類型的限定名。
  8. Set this attribute to a number that is greater than the length of time to complete any file copy processes

    將此屬性設置為一個大於完成任何文件復制過程所需時間的數值。根據該屬性和
  9. Scientific and statistical databases ( ssdb ) have following characters, firstly, relation schema is relatively stable, and each attribute has limited candidate values with high redundancy, secondly, new arrival data only append to the end of current data area and do not change the exist data, thirdly, every relation is made up of plenty of attributes, but majority of queries only relative with less attributes and most queries are read - only queries

    科學與統計數據庫（ scientificandstatisticaldatabase ， ssdb ）具有如下特點: （ 1 ）關系的模式穩定、屬性值的值域有限、數據冗餘大; （ 2 ）新產生的數據只追加到當前數據末尾而不更新已有內容; （ 3 ）每個關系都由大量屬性組成，但大多數查詢只與少數幾個屬性相關且多為只讀操作。
  10. After confirming system goal, according to overall design rule, system overall design is to carry out system overall logic structural design and software and hardware design of system ; system function design includes data to get and edit modular, data inquiry and statistics modular, overall estimetion modular, function district estimetion modular and typical cadastral parcel estimetion modular, land optimization deployment modular as well as urban land grade and evaluation modular ; database detailed design includes the design of space database and property database as well as design for the connection of space data and property data ; system application model analysis mainly explains models for intensivism degree, unit comprehensive value, land area potential, land benifit potential as well as typical cadastral parcel estimetion

    系統總體設計是在確定系統目標后，按照總體設計準則，進行系統總體邏輯結構設計及系統的軟硬體配置設計；系統功能設計包括數據獲取及編輯模塊、數據查詢統計模塊、總體評價模塊、功能區評價模塊、樣地評價模塊、土地優化配置模塊以及城鎮土地定級估價模塊等七大模塊的設計；數據庫詳細設計包括空間數據庫、屬性數據庫的設計以及空間數據與屬性數據的連接設計；系統應用模型分析部分主要對于集約度模型、單元綜合分值計算模型、用地面積潛力測算模型、用地效益潛力測算模型以及樣地潛力評價模型做出了分析解釋。
  11. 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

    在數據挖掘過程中，由於利用間隔來處理數值屬性容易產生尖銳的邊界問題，我們引入模糊集的概念到數據挖掘演算法來解決這個問題，給出了具體的演算法，並通過實驗證實了利用模糊關聯規則和模糊頻繁序列檢測異常的可行性。
  12. The first chapter in this paper provides a survey of data mining technology, and explains basic concepts, function and the whole framework of data mining and difficulties in developing and some future directions in association rule generation ; the second chapter introduce the basic concepts, brings forward a classification of association rule ; the third chapter give a deep research on algorithms of every kind of association rule, include mining single - dimensional signal - level association rule and multidimensional multilevel association rule, it describes these algorithm, point out some method to optimize this algorithm and test its quality with experiments ; the fourth and fifth chapter introduce the designs about association rule mining system basing on relation database visual foxpro in detail : according to system frame of the association rule mining, actualize a new mining algorithms and analyses every function module of program, at last further analyses the left problems in designs

    本論文第一部分對數據挖掘技術進行了總體介紹，說明了基本概念、功能和系統總體框圖以及發展中的難點和研究方面；第二章對關聯規則基本概念的進行了介紹，提出了關聯規則的分類方法；第三章探討了挖掘各種關聯規則的演算法，從挖掘單維單層布爾關規則的經典的apriori開始，分析了挖掘單維、多層關聯規則的演算法，多維關聯規則的演算法到多維多值屬性關聯規則的演算法。文中提出演算法優化方法，並對其性能進行了實驗測試；第四部分、第五部分詳細介紹了基於關系型數據庫的關聯規則挖掘系統的設計構思，根據關聯規則挖掘系統結構框架，實現了基於visualfoxpro的關聯規則挖掘系統，其于採用了一個新型的基於關系數據庫的關聯規則挖掘演算法，提高了挖掘效率，並詳細分析了程序設計的各個功能模塊，最後就設計中遺留的問題進行了進一步的分析。
  13. We found id3 algorithm is better than min - ambiguity in training accuracy, testing accuracy and size of tree by experimental and theoretical analysis. meanwhile, we propose a new heuristic

    通過實驗與理論分析，發現fuzzyid3演算法應用於符號值屬性類分明的數據庫時從訓練準確度、測試準確度和樹的規模等方面都要優于min - ambiguity演算法。
  14. This part put forward the system conception of kdd and the apriori algorithm. then evolved the create - frequent - set algorithm which was fit for the freight agent management system. because of the shortage of efficiency, 1 improved the algorithm. because some of the items were not boolean variables, 1 need the quantitaitve attributes association rules discovering algorithm. in general, there had the levels among the items, so multilevel association rules existed. after perfecting the algorithmic need interpret and evaluate the knowledge. in the end, 1 discussed the privacy and security of kdd. the fifth part described the future problems and prospect

    第四章是論文的主體，著重介紹知識發現的全過程，按照semma方法論首先進行數據準備，然後進入數據挖掘階段，提出知識發現的概念體系和公認的apriori演算法，從該演算法演變出適合於貨代管理系統的生成頻繁項目集的演算法；因為在實際應用中存在效率上的不足，因此進一步地提出了改進方案；在事務處理中各個項目並不都是布爾型變量，因此需要特定的針對多值屬性的關聯規則發現演算法；通常情況下，項目之間存在有層次關系，因此多層次關聯規則的發現普遍存在；演算法完善並運行后需要對發現的知識進行解釋和評估；本章的最後討論了知識發現的私有性和安全性問題；第五章講述有待解決的問題和發展前景。
  15. Attribute indicates the terminator that follows the data value

    對于每個欄位， terminator屬性指示位於數據值後面的終止符。
  16. ( 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 ）根據進化計算的極強魯棒性及尋優能力，提出了基於進化計算的數量型屬性離散化演算法?進化c均值演算法。
  17. By using the classification information provided by decision attribute, this method not only avoids the complex clustering operation but also can output a result with high data consistency. then the thesis discusses the extension of rough set theory in order to deal with incomplete information system

    該方法通過利用決策屬性提供的分類信息對屬性值空間進行離散化，不僅避免了復雜的聚類運算，而且使離散化結果保持了較高的數據一致性。
  18. You can simple - bind any property of a control to a data value

    可將控制項的任何屬性簡單綁定到數據值。
  19. Dialog box to bind single - value properties such as the

    使用「數據綁定」對話框可以將單值屬性（如
  20. Every variable, literal, constant, enumeration, property, procedure parameter, procedure argument, and procedure return value has a data type

    每個變量、文本、常數、枚舉、屬性、過程參數、過程變量和過程返回值都具有數據類型。
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