attribute data set 中文意思是什麼

attribute data set 解釋
屬性定界符
  • attribute : vt. 1. 把(某事)歸因於…。2. 認為…系某人所為。n. 1. 屬性,特質。2. (人物、官職等的)標志,表徵。3. 【語法】屬性形容詞。
  • data : n 1 資料,材料〈此詞系 datum 的復數。但 datum 罕用,一般即以 data 作為集合詞,在口語中往往用單數...
  • set : SET =safe electronic transaction 安全電子交易〈指用信用卡通過因特網支付款項的商業交易〉。n 【埃...
  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. Apply the facing object technology to set up the product data structure, attribute, configuration, edition and bom information model by analyzing the product data level, the object and engineering characteristics

    採用面向對象技術,通過分析產品數據的層次、對象特性和工程特性,建立產品數據的結構、屬性、構型、版本、 bom信息模型。
  3. In mss, an attribute of a data set that keeps the data set on one or more staging drives until the data set is released by the user regardless of the length of time or the demands

    在海量存儲系統( mss )中,數據集的一種屬性,將該數據保存在登臺驅動器上,直到用戶釋放該數據集為止,而不考慮它使用的時間和佔用的空間。
  4. The discussion of main parallel technologies on construction of parallel sliq algorithm is presented in this paper. the computing result of algorithm complexity of sequential and parallel algorithm indicates : when the data set is large enough, as to continuous attributes, the parallel algorithm almost get speedup value equal to the number of processors , while as to categorical attribute the improvement of parallel algorithm is limited

    通過對串列和并行演算法時間復雜度的計算表明,當數據集充分大時,由於連續屬性的排序計算操作分散到各個處理機單元上進行,顯著降低了計算時間,從而可以得到近似於處理機個數的加速比,對于離散屬性,本并行演算法對串列演算法的性能提高有限
  5. These theorems is the basis and guideline for constructing and verifying the weak derivation set according to the invertibilrty of attribute mapping, thus improves the basic theories of data lineage tracing

    這些定理為作者根據屬性映射的可逆性構造和驗證弱起源集提供了基本依據和指導思想,豐富了數據志跟蹤的基本理論。
  6. Next, this thesis presents a data lineage tracing approach, wivem ( weak inversion and verification of attribute mapping ), which can calculate ( attribute - level ) derivation set of attribute mapping

    作者根據可逆與弱可逆的思想,提出了一種「基於屬性映射的弱逆與驗證的方法( wivem , weakinversionandverificationofattributemapping ) 」求解屬性映射的(屬性級)起源集。
  7. Beginning with the formal definition of derivation set, this thesis finds the general laws of derivation set, proves the theorems about derivation set, proposes an approach for weak inversion and verification based on attribute mapping to trace data lineage, gives a series of arithmetic for data lineage tracing, describes the basic processes of data lineage, and then forms systematic theories and approach

    作者從定義起源集入手,找出了起源集的一般規律,證明了有關起源集的定理,提出了一種「基於屬性映射的弱逆與驗證」的起源集跟蹤方法,給出了一系列有關起源集跟蹤的演算法,並設計了數據志跟蹤的基本過程,從而形成了一套系統的數據志跟蹤理論與方法。
  8. In some projects charged by our lab such as national 863 project - " crop planting management components based on weather analyse ", anhui provincial 95 key project - " agricultural meteorology disaster evaluation system base on gis in anhui province " and the project " small coal mine security management and decision system based on gis in anhui province ", this paper combines the theory and arithmetic of rough set with gis and data mining in idss, investiges the application of rough set theory to precision analysis of attribute data and logical operation in gis, analyzes the logical operation based on rough set ( logical union, logical intersection, logical complement, mixed logical operation etc. ), so that it can give a method y to research the gis attribute data and the uncertainty of attribute data after superposition operator, so as to express the roughness and illegibility of attribute data more accurately

    在完成試驗室所承擔的國家863項目「基於氣象分析的農作物種植管理軟構件」 、省95攻關項目「基於gis的安徽省重大農業氣象災害測評系統」和「基於gis的安徽省小煤礦安全管理決策系統」等項目中,將粗糙集理論和演算法與gis 、智能決策系統中的知識發現等相結合,對粗糙集理論在gis屬性數據和邏輯運算精度分析中的應用情況進行了研究,分析了基於粗集的gis邏輯運算(邏輯並、邏輯交、邏輯補、混合邏輯等) ,從而為研究gis屬性數據及其疊加運算后屬性數據的不確定性提供了一種方法,能比較準確地表達屬性數據的模糊性和粗糙性。
  9. We use control chart to characterize states of security environment and data mining to construct intrusion detection strategies. the latter includes pattern mining, pattern consolidation arid pattern comparing. in succession to it, we construct attribute set and training set for classification of net data

    其次討論了自適應空間的構成,使用控制圖來構建條件空間,用數據挖掘技術來構建策略空間,重點討論了怎樣把數據挖掘技術應用到策略空間的構造中,包括模式的挖掘、合併、比較以及在此基礎上構建分類器所需要的屬性集與學習集。
  10. To the problem that finding rules in enormous data is very time - consumable and the expansibility of existed algorithms is not very good, the thesis proposes a new method to discompose large data table based on the concepts of positive region and the importance of attribute in rough set theory. existed algorithms of rule deduction can be applied directly on the tree structure obtained by partition and the times for computation will be reduced observably. validation of information entropy on the partition structure shows that the partition of data table will not lead to the loss of information, while the computing speed increases at the same time, which reflects the practicability and rationality about the partition of large data table

    針對海量數據處理起來極為耗時,現有演算法拓展性較差的問題,基於rough集理論中的集合正域概念以及由此定義的屬性重要性概念,提出一種大型數據表分解演算法,現有的規則歸納演算法可直接在分解得到的樹型結構上應用,將大大降低知識發現的時間,並從信息理論的角度利用信息熵概念對該分解結構進行了驗證,分析了這種分解的實用性及合理性,揭示了這種分解結構在提高計算速度的同時不會損失信息量。
  11. Using the statistic characterization of data, the relevant knowledge reduction algorithm is put forward by combining the probability with classification rules ; using the characterization of fuzzy attributes, the decision system with subjection degree attribute is built by combing the rough set theory and fuzzy set theory, and the idea of distinguish matrix is induced to the concealed decision system to reduce data

    利用數據的統計特徵,將概率測度與分類規則結合起來,提出了相應的知識西北工業大學博士學位論文約減演算法;利用模糊屬性集合的特點,把粗糙集合與模糊集合有機結合起來,將粗糙集中分辨矩陣的思想引入到具有隸屬度屬性的隱式決策系統中進行數據約減。
  12. This paper has set up a platform of multi - parameter nonlinear study and multi - parameter estimate to reservoir by means of the technology of multi - attribute transformation and neutral network combined with multi - attribute analysis of seismic parameters, reservoir inversion and reconstruction of reservoir geophysical characteristics on the foundation of large numbers researches and data - drive law in prediction of reservoir so as to provide more accurate geology conclusion and exploration deployment scheme in practical application. besides, concrete example analysis has been made on this technology aiming at different types of oil - bearing reservoir prediction. summing up the characteristic of this technology, this paper point out its further direction in development

    基於上述目標,本文主要做了以下幾方面的工作:詳細分析了石油勘探局中多種儲層預測方法的技術特點及本身在解決實際地質問題上的不足之處;在繼承前人研究和技術的基礎上,以「數據驅動法」為數學物理的理論基礎,通過多屬性變換和神經網路技術,把地震參數的多屬性分析技術、儲層反演技術和近年出現儲層物理特徵重構的技術思想有機地結合在一起,建立起一套儲層多參數非線性預測研究和儲層多參數估算技術平臺;對該項技術針對不同類型含油儲層的預測研究做出了具體的實例分析;總結了該項技術的特點,並指出進一步的發展方向。
  13. The remote sensing technologic on the acquiring and capturing and information and the gis technologic on the data management and spatial analysis will give into full play in the study of land resources as whole, seeking the application possibility of remote sensing and gis technologies in land suitability evaluation. the database in this study fully reflecting the land quality in the yeerqiang river valley has been set up, including spatial database and attribute database comes from various types of data collecting, processing, analysis and field observation

    在此基礎上,將遙感技術與gis技術相結合,充分發揮遙感在土地信息獲取和gis在數據管理和空間分析方面的優勢將土地資源視為一個有機的整體進行研究,探索遙感技術和gis在土地開發評價中的應用。建立了反映葉爾羌河流域土地質量的數據庫,包括空間數據庫和屬性數據庫。空間數據庫是利用遙感和gis技術完成的;屬性數據是通過對收集的各種資料進行分析整理、野外數據觀測和信息採集等建立的。
  14. 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

    本文首先分析了串列sliq演算法的原理和特點,針對其不足提出了一些改進方法,然後在基於pvm的環境下實現了演算法的并行化,分析了演算法的時間復雜度和加速比,提高了sliq演算法的效率,具有一定的理論意義和實用價值。
  15. In cobol, a set of consecutive words whose purpose is to specify an attribute of an entry. there are three types of clauses : data, environment, and file

    Cobol語言中的一組相鄰的字,其目的是說明一個項的屬性。子句有三種類型:數據、環境和文件。
  16. Analyze the systematic structure of the product data management system and study the object representation of the product data integration model, the product data attribute and operation, the product information modeling and the theory and method of access control modeling in order to set up the object model of the product data access control and describe the data base conversion of the object model and executive method

    分析產品數據管理系統的體系結構,研究產品數據的集成模型的對象表示,產品數據屬性和操作,產品信息建模和訪問控制建模的理論和方法;建立產品數據訪問控制的對象模型,並說明對象模型的數據庫轉換和實現方法。
  17. This paper is chiefly to set up a platform of multi - parameter nonlinear study and multi - parameter estimate to reservoir by means of the technology of multi - attribute transformation and neutral network combined with multi - attribute analysis of seismic parameters, reservoir inversion and reconstruction of reservoir geophysical characteristics on the foundation of large numbers researches and data - drive law in prediction of reservoir so as to provide more accurate geology conclusion and exploration deployment scheme in practical application. basing on the mentioned objective above, this paper has analyzed characteristics of many methods of reservoir prediction in the petroleum prospecting and their shortcomings in the practical geology problem of resolution

    本文主要目標就是在大量研究技術的基礎上,以儲層預測研究中的「數據驅動法」為數學物理上的理論基礎,通過多屬性變換和神經網路技術把地震參數的多屬性分析技術、儲層反演技術和儲層地球物理特徵重構的技術思想有機地結合在一起,建立起一套儲層多參數非線性的預測研究和儲層多參數估算技術平臺,最終在實際應用中提供更加準確的地質和勘探部署。
  18. Stzware is a two and three dimension spatial analysis software based on realms math model developed by nuaa, and the two - dimension subset of this software defines spatial data types on 2 - dimension discrete grid, such as point set ( privpoints ), line set ( privlines ) and region set ( privregions ), and implements attribute operation functions of these 3 types and topology analysis functions among these 3 types

    Stzware是由南京航空航天大學研製的基於數學模型realms的二三維空間分析軟體,其中的二維子集定義了二維平面離散網格上的空間數據類型:點集( privpoints ) 、線集( privlines )和區域集( privregions ) ,並實現了這三種類型的屬性操作函數和這三種類型間的拓撲分析函數。
  19. We also took tests to compare our optimization algorithm with id3 algorithm using the data set famn providing, and did experiment on the standard data uci providing, the result show that the information gain of attribute - value pairs in two levels optimization algorithm is more excellent than ids algorithm indeed

    通過對使用同一個實例集用不同的演算法建立的決策樹的分析比較,得出使用屬性-值對的兩次信息增益優化演算法比id3演算法所得到的決策樹更理想。並且通過對famn家族數據集的測試比較以及對uci提供的標準數據進行實驗,說明了這種演算法確實比id3演算法有所改進。
  20. 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。
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